CA2304199C - Dissolved solids analyzer - Google Patents
Dissolved solids analyzer Download PDFInfo
- Publication number
- CA2304199C CA2304199C CA002304199A CA2304199A CA2304199C CA 2304199 C CA2304199 C CA 2304199C CA 002304199 A CA002304199 A CA 002304199A CA 2304199 A CA2304199 A CA 2304199A CA 2304199 C CA2304199 C CA 2304199C
- Authority
- CA
- Canada
- Prior art keywords
- conductivity
- dissolved
- amount
- liquid sample
- relationship
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
- 239000007787 solid Substances 0.000 title claims abstract description 121
- 238000000034 method Methods 0.000 claims abstract description 88
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 67
- 238000005259 measurement Methods 0.000 claims abstract description 66
- 239000007788 liquid Substances 0.000 claims abstract description 64
- 230000008569 process Effects 0.000 claims abstract description 49
- 238000010521 absorption reaction Methods 0.000 claims abstract description 21
- 230000001678 irradiating effect Effects 0.000 claims abstract description 4
- 238000002835 absorbance Methods 0.000 claims description 74
- 239000000126 substance Substances 0.000 claims description 40
- 229920006317 cationic polymer Polymers 0.000 claims description 20
- 230000003993 interaction Effects 0.000 claims description 17
- 239000002245 particle Substances 0.000 claims description 10
- 238000012545 processing Methods 0.000 claims description 8
- 230000000694 effects Effects 0.000 claims description 7
- 229910003480 inorganic solid Inorganic materials 0.000 claims description 5
- 238000000611 regression analysis Methods 0.000 claims 4
- 239000005446 dissolved organic matter Substances 0.000 claims 2
- 239000000523 sample Substances 0.000 description 58
- 239000000123 paper Substances 0.000 description 51
- 239000000047 product Substances 0.000 description 25
- 229920001131 Pulp (paper) Polymers 0.000 description 19
- 238000007792 addition Methods 0.000 description 15
- 238000000825 ultraviolet detection Methods 0.000 description 13
- 229920005610 lignin Polymers 0.000 description 11
- 239000000203 mixture Substances 0.000 description 11
- 238000004140 cleaning Methods 0.000 description 10
- 210000004027 cell Anatomy 0.000 description 9
- 238000001914 filtration Methods 0.000 description 9
- 239000013505 freshwater Substances 0.000 description 9
- 150000002500 ions Chemical class 0.000 description 8
- 238000004519 manufacturing process Methods 0.000 description 7
- 238000005406 washing Methods 0.000 description 7
- 230000015572 biosynthetic process Effects 0.000 description 6
- 230000014759 maintenance of location Effects 0.000 description 6
- 238000001556 precipitation Methods 0.000 description 6
- 239000002253 acid Substances 0.000 description 5
- 238000004061 bleaching Methods 0.000 description 5
- 150000001768 cations Chemical class 0.000 description 5
- 230000008859 change Effects 0.000 description 5
- 230000008021 deposition Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 5
- 239000012530 fluid Substances 0.000 description 5
- 239000000463 material Substances 0.000 description 5
- 238000012544 monitoring process Methods 0.000 description 5
- 239000003643 water by type Substances 0.000 description 5
- 239000002023 wood Substances 0.000 description 5
- 229920002488 Hemicellulose Polymers 0.000 description 4
- 238000011481 absorbance measurement Methods 0.000 description 4
- 238000009825 accumulation Methods 0.000 description 4
- 150000001720 carbohydrates Chemical class 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 239000012528 membrane Substances 0.000 description 4
- 239000011368 organic material Substances 0.000 description 4
- 238000004537 pulping Methods 0.000 description 4
- 150000003839 salts Chemical class 0.000 description 4
- CDBYLPFSWZWCQE-UHFFFAOYSA-L Sodium Carbonate Chemical compound [Na+].[Na+].[O-]C([O-])=O CDBYLPFSWZWCQE-UHFFFAOYSA-L 0.000 description 3
- HEMHJVSKTPXQMS-UHFFFAOYSA-M Sodium hydroxide Chemical compound [OH-].[Na+] HEMHJVSKTPXQMS-UHFFFAOYSA-M 0.000 description 3
- 230000002776 aggregation Effects 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 3
- 125000000129 anionic group Chemical group 0.000 description 3
- 230000008901 benefit Effects 0.000 description 3
- 239000003795 chemical substances by application Substances 0.000 description 3
- 239000000084 colloidal system Substances 0.000 description 3
- 238000004891 communication Methods 0.000 description 3
- 230000001419 dependent effect Effects 0.000 description 3
- 238000011161 development Methods 0.000 description 3
- 230000018109 developmental process Effects 0.000 description 3
- GRWZHXKQBITJKP-UHFFFAOYSA-L dithionite(2-) Chemical compound [O-]S(=O)S([O-])=O GRWZHXKQBITJKP-UHFFFAOYSA-L 0.000 description 3
- 239000003792 electrolyte Substances 0.000 description 3
- 239000012065 filter cake Substances 0.000 description 3
- 238000011010 flushing procedure Methods 0.000 description 3
- 238000003860 storage Methods 0.000 description 3
- -1 whitewater Substances 0.000 description 3
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 2
- 241000218657 Picea Species 0.000 description 2
- 101000916532 Rattus norvegicus Zinc finger and BTB domain-containing protein 38 Proteins 0.000 description 2
- 150000007513 acids Chemical class 0.000 description 2
- 238000005054 agglomeration Methods 0.000 description 2
- 238000013459 approach Methods 0.000 description 2
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 2
- 239000007844 bleaching agent Substances 0.000 description 2
- 229910052799 carbon Inorganic materials 0.000 description 2
- 230000009920 chelation Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000011217 control strategy Methods 0.000 description 2
- 238000010411 cooking Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 239000006185 dispersion Substances 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 239000004744 fabric Substances 0.000 description 2
- 238000005189 flocculation Methods 0.000 description 2
- 230000016615 flocculation Effects 0.000 description 2
- LNTHITQWFMADLM-UHFFFAOYSA-N gallic acid Chemical compound OC(=O)C1=CC(O)=C(O)C(O)=C1 LNTHITQWFMADLM-UHFFFAOYSA-N 0.000 description 2
- 239000010797 grey water Substances 0.000 description 2
- 239000012510 hollow fiber Substances 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 239000011159 matrix material Substances 0.000 description 2
- 230000007935 neutral effect Effects 0.000 description 2
- 229910052760 oxygen Inorganic materials 0.000 description 2
- 239000001301 oxygen Substances 0.000 description 2
- 239000002957 persistent organic pollutant Substances 0.000 description 2
- BASFCYQUMIYNBI-UHFFFAOYSA-N platinum Chemical compound [Pt] BASFCYQUMIYNBI-UHFFFAOYSA-N 0.000 description 2
- 229920000642 polymer Polymers 0.000 description 2
- 239000002244 precipitate Substances 0.000 description 2
- 230000005180 public health Effects 0.000 description 2
- 239000013055 pulp slurry Substances 0.000 description 2
- 229920005989 resin Polymers 0.000 description 2
- 239000011347 resin Substances 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 239000000243 solution Substances 0.000 description 2
- 238000010561 standard procedure Methods 0.000 description 2
- 239000002351 wastewater Substances 0.000 description 2
- RSWGJHLUYNHPMX-UHFFFAOYSA-N 1,4a-dimethyl-7-propan-2-yl-2,3,4,4b,5,6,10,10a-octahydrophenanthrene-1-carboxylic acid Chemical compound C12CCC(C(C)C)=CC2=CCC2C1(C)CCCC2(C)C(O)=O RSWGJHLUYNHPMX-UHFFFAOYSA-N 0.000 description 1
- 210000003771 C cell Anatomy 0.000 description 1
- 102000003712 Complement factor B Human genes 0.000 description 1
- 108090000056 Complement factor B Proteins 0.000 description 1
- QUUCYKKMFLJLFS-UHFFFAOYSA-N Dehydroabietan Natural products CC1(C)CCCC2(C)C3=CC=C(C(C)C)C=C3CCC21 QUUCYKKMFLJLFS-UHFFFAOYSA-N 0.000 description 1
- NFWKVWVWBFBAOV-UHFFFAOYSA-N Dehydroabietic acid Natural products OC(=O)C1(C)CCCC2(C)C3=CC=C(C(C)C)C=C3CCC21 NFWKVWVWBFBAOV-UHFFFAOYSA-N 0.000 description 1
- YZCKVEUIGOORGS-OUBTZVSYSA-N Deuterium Chemical compound [2H] YZCKVEUIGOORGS-OUBTZVSYSA-N 0.000 description 1
- 229920001706 Glucuronoxylan Polymers 0.000 description 1
- 241000183024 Populus tremula Species 0.000 description 1
- XUIMIQQOPSSXEZ-UHFFFAOYSA-N Silicon Chemical compound [Si] XUIMIQQOPSSXEZ-UHFFFAOYSA-N 0.000 description 1
- KSQXVLVXUFHGJQ-UHFFFAOYSA-M Sodium ortho-phenylphenate Chemical compound [Na+].[O-]C1=CC=CC=C1C1=CC=CC=C1 KSQXVLVXUFHGJQ-UHFFFAOYSA-M 0.000 description 1
- NINIDFKCEFEMDL-UHFFFAOYSA-N Sulfur Chemical compound [S] NINIDFKCEFEMDL-UHFFFAOYSA-N 0.000 description 1
- 230000002378 acidificating effect Effects 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 239000000654 additive Substances 0.000 description 1
- 230000000996 additive effect Effects 0.000 description 1
- 238000004220 aggregation Methods 0.000 description 1
- 230000008033 biological extinction Effects 0.000 description 1
- 238000005282 brightening Methods 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 150000001767 cationic compounds Chemical class 0.000 description 1
- 125000002091 cationic group Chemical group 0.000 description 1
- 230000005591 charge neutralization Effects 0.000 description 1
- 239000003922 charged colloid Substances 0.000 description 1
- 239000013522 chelant Substances 0.000 description 1
- 238000001311 chemical methods and process Methods 0.000 description 1
- 238000012630 chemometric algorithm Methods 0.000 description 1
- 230000003749 cleanliness Effects 0.000 description 1
- 230000001112 coagulating effect Effects 0.000 description 1
- 238000005345 coagulation Methods 0.000 description 1
- 230000015271 coagulation Effects 0.000 description 1
- 238000009833 condensation Methods 0.000 description 1
- 230000005494 condensation Effects 0.000 description 1
- 239000000470 constituent Substances 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 230000001351 cycling effect Effects 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- NFWKVWVWBFBAOV-MISYRCLQSA-N dehydroabietic acid Chemical compound OC(=O)[C@]1(C)CCC[C@]2(C)C3=CC=C(C(C)C)C=C3CC[C@H]21 NFWKVWVWBFBAOV-MISYRCLQSA-N 0.000 description 1
- 229940118781 dehydroabietic acid Drugs 0.000 description 1
- 239000002761 deinking Substances 0.000 description 1
- 230000001687 destabilization Effects 0.000 description 1
- 230000001627 detrimental effect Effects 0.000 description 1
- 229910052805 deuterium Inorganic materials 0.000 description 1
- 235000014113 dietary fatty acids Nutrition 0.000 description 1
- 238000010790 dilution Methods 0.000 description 1
- 239000012895 dilution Substances 0.000 description 1
- 230000009881 electrostatic interaction Effects 0.000 description 1
- 238000001704 evaporation Methods 0.000 description 1
- 230000008020 evaporation Effects 0.000 description 1
- 230000005284 excitation Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000000556 factor analysis Methods 0.000 description 1
- 239000000194 fatty acid Substances 0.000 description 1
- 229930195729 fatty acid Natural products 0.000 description 1
- 150000004665 fatty acids Chemical class 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 239000000945 filler Substances 0.000 description 1
- 239000000706 filtrate Substances 0.000 description 1
- 239000008394 flocculating agent Substances 0.000 description 1
- 238000005188 flotation Methods 0.000 description 1
- 238000005187 foaming Methods 0.000 description 1
- 235000004515 gallic acid Nutrition 0.000 description 1
- 229940074391 gallic acid Drugs 0.000 description 1
- 238000004442 gravimetric analysis Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000004128 high performance liquid chromatography Methods 0.000 description 1
- 239000012456 homogeneous solution Substances 0.000 description 1
- 239000008235 industrial water Substances 0.000 description 1
- 229910001411 inorganic cation Inorganic materials 0.000 description 1
- 239000011256 inorganic filler Substances 0.000 description 1
- 229910003475 inorganic filler Inorganic materials 0.000 description 1
- 239000002655 kraft paper Substances 0.000 description 1
- 229930013686 lignan Natural products 0.000 description 1
- 235000009408 lignans Nutrition 0.000 description 1
- 150000005692 lignans Chemical class 0.000 description 1
- 229920002521 macromolecule Polymers 0.000 description 1
- 229910052751 metal Inorganic materials 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 238000002156 mixing Methods 0.000 description 1
- 239000010813 municipal solid waste Substances 0.000 description 1
- 150000007524 organic acids Chemical class 0.000 description 1
- 235000005985 organic acids Nutrition 0.000 description 1
- 239000005416 organic matter Substances 0.000 description 1
- 230000001590 oxidative effect Effects 0.000 description 1
- 150000002978 peroxides Chemical class 0.000 description 1
- ISWSIDIOOBJBQZ-UHFFFAOYSA-N phenol group Chemical group C1(=CC=CC=C1)O ISWSIDIOOBJBQZ-UHFFFAOYSA-N 0.000 description 1
- 229910052697 platinum Inorganic materials 0.000 description 1
- 238000003825 pressing Methods 0.000 description 1
- 238000004886 process control Methods 0.000 description 1
- 238000010926 purge Methods 0.000 description 1
- 239000010453 quartz Substances 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000007670 refining Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 229910052710 silicon Inorganic materials 0.000 description 1
- 239000010703 silicon Substances 0.000 description 1
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N silicon dioxide Inorganic materials O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 description 1
- 238000004513 sizing Methods 0.000 description 1
- 229910000029 sodium carbonate Inorganic materials 0.000 description 1
- JVBXVOWTABLYPX-UHFFFAOYSA-L sodium dithionite Chemical compound [Na+].[Na+].[O-]S(=O)S([O-])=O JVBXVOWTABLYPX-UHFFFAOYSA-L 0.000 description 1
- 229910052979 sodium sulfide Inorganic materials 0.000 description 1
- GRVFOGOEDUUMBP-UHFFFAOYSA-N sodium sulfide (anhydrous) Chemical compound [Na+].[Na+].[S-2] GRVFOGOEDUUMBP-UHFFFAOYSA-N 0.000 description 1
- 241000894007 species Species 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 229910052717 sulfur Inorganic materials 0.000 description 1
- 239000011593 sulfur Substances 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
- 230000002123 temporal effect Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000003911 water pollution Methods 0.000 description 1
- 229910052724 xenon Inorganic materials 0.000 description 1
- FHNFHKCVQCLJFQ-UHFFFAOYSA-N xenon atom Chemical compound [Xe] FHNFHKCVQCLJFQ-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/47—Scattering, i.e. diffuse reflection
- G01N21/49—Scattering, i.e. diffuse reflection within a body or fluid
- G01N21/53—Scattering, i.e. diffuse reflection within a body or fluid within a flowing fluid, e.g. smoke
- G01N21/534—Scattering, i.e. diffuse reflection within a body or fluid within a flowing fluid, e.g. smoke by measuring transmission alone, i.e. determining opacity
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/314—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry with comparison of measurements at specific and non-specific wavelengths
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/33—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using ultraviolet light
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/47—Scattering, i.e. diffuse reflection
- G01N21/4738—Diffuse reflection, e.g. also for testing fluids, fibrous materials
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/02—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance
- G01N27/04—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating resistance
- G01N27/06—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating resistance of a liquid
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/18—Water
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/34—Paper
- G01N33/343—Paper pulp
Landscapes
- Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Engineering & Computer Science (AREA)
- Food Science & Technology (AREA)
- Medicinal Chemistry (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Electrochemistry (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
- Investigating Or Analyzing Materials By The Use Of Electric Means (AREA)
Abstract
On-line measurements of an amount of dissolved solids in liquid sample are determined by using both conductivity and UV measurements. More particularly, an amount of dissolved solids in a pulp and paper mill process water or effluent is determined by irradiating at least a portion of a liquid sample with ultraviolet light and subsequently measuring an absorption of the light by the liquid sample. Furthermore the conductivity of the liquid sample is measured and subsequently a computation of the amount of dissolved matter in the liquid sample is made from a first relationship between the measured absorption of the first wavelength by the liquid sample and the mesured conductivity of the liquid sample using a suitably programmed processor.
Description
Dissolved Solids Analyzer Field of the Invention This invention relates to the application of conductivity and UV measurements for on-line measurements of an amount of dissolved solids in a liquid sample. More particularly, an aspect of the invention relates to the determination of the amount of dissolved solids in a pulp and paper mill process water or effluent using a combination of conductivity and UV
absorbance measurements.
Background of the Invention On-line measurements of the amount of dissolved solids of paper mill process waters, such as whitewater, graywater, and effluents, can provide the necessary feedback for optimizing retention, flocculation, and water flow in the paper mill. At present, on-line measurements do not provide the detail necessary for optimal control. This is particularly the case when measuring the total amount of dissolved solids in a liquid sample.
The importance of the management of the composition of industrial water streams is described by Simons, NLK Consultants, and Sandwell Inc., in a 1994 publication "Water Use Reduction in the Pulp and Paper Industry", Canadian Pulp and Paper Association, Montreal. The excessive build-up of dissolved solids in a process water stream may decrease process efficiency and increase corrosion, foaming, odour, pitch, precipitation, and scaling. A counter-current flow of water to pulp streams is a commonly used method to efficiently use water in pulp processing and papermaking to optimize the removal of dissolved solids. In order to prevent production problems related to the build-up of dissolved solids in process water it is necessary to efficiently remove and minimize the variation of dissolved solids in liquid samples. Garver et al. in a Journal entitled Tappi Vol. 80 Number8, pages 163-173, 1997 teach that the temporal or spatial variation in the amount of dissolved solids in a water stream may lead to manufacturing problems including precipitation, deposition, scaling and pitch formation.
SUBSTiTUTE SHEET (RULE 26) One standard method for the examination of water and wastewater employed by the American Health Association measures the total amount of dissolved solids directly by gravimetric analysis after evaporation of a known volume of liquid after filtration.
The empirical estimation of dissolved solids using a conductivity measurement is an established technique employing a calibration between the dissolved solids and a conductivity measurement. This method is widely used as a relative measure of dissolved inorganic salts and many conductivity/TDS (Total Dissolved Solids) meters are available on the market. The relationship between dissolved solids and conductivity differs for each type of ion depending on the charge and size of the ion. Empirical constants to convert conductivity (mS cm") to dissolved solids (mg L"1) may vary considerably, i.e.
between 0.55 and 0.9 depending on ion type, concentration and temperature, American Public Health Association, Standard Methods for the Examination of Water and Wastewater, American Public Health Association, American Water Works Association, Water Pollution Control Federation, Washington D.C. 1992, pp. 2-47. However, the amount of dissolved solids measured by conductivity is only reliable when specific inorganic salts dominate the dissolved solids present in the water.
Conversely, conductivity measurements present a poor measure of the amount of dissolved solids when substances with little or no ionic charge contribute substantially to the amount of dissolved solids.
The principle disadvantages of using conductivity as a measure of the amount of dissolved solids are related to inaccuracies arising from the differences in the specific conductivity of different ions, association or chelation of positive or negative ions resulting in inactive ions, and the poor detection of organic acids and organic neutral substances. In a paper mill situation the relative ratio of dissolved inorganic salts to dissolved organic material varies dramatically depending on the location in the pulp processing sequence. For example, in a lignin retaining pulp brightening process, such as sodium hydrosulfite bleaching, the variation in the amount of dissolved solids may be largely related to the amount of bleach applied and the residual sulfur species resulting from hydrosulfite decomposition.
absorbance measurements.
Background of the Invention On-line measurements of the amount of dissolved solids of paper mill process waters, such as whitewater, graywater, and effluents, can provide the necessary feedback for optimizing retention, flocculation, and water flow in the paper mill. At present, on-line measurements do not provide the detail necessary for optimal control. This is particularly the case when measuring the total amount of dissolved solids in a liquid sample.
The importance of the management of the composition of industrial water streams is described by Simons, NLK Consultants, and Sandwell Inc., in a 1994 publication "Water Use Reduction in the Pulp and Paper Industry", Canadian Pulp and Paper Association, Montreal. The excessive build-up of dissolved solids in a process water stream may decrease process efficiency and increase corrosion, foaming, odour, pitch, precipitation, and scaling. A counter-current flow of water to pulp streams is a commonly used method to efficiently use water in pulp processing and papermaking to optimize the removal of dissolved solids. In order to prevent production problems related to the build-up of dissolved solids in process water it is necessary to efficiently remove and minimize the variation of dissolved solids in liquid samples. Garver et al. in a Journal entitled Tappi Vol. 80 Number8, pages 163-173, 1997 teach that the temporal or spatial variation in the amount of dissolved solids in a water stream may lead to manufacturing problems including precipitation, deposition, scaling and pitch formation.
SUBSTiTUTE SHEET (RULE 26) One standard method for the examination of water and wastewater employed by the American Health Association measures the total amount of dissolved solids directly by gravimetric analysis after evaporation of a known volume of liquid after filtration.
The empirical estimation of dissolved solids using a conductivity measurement is an established technique employing a calibration between the dissolved solids and a conductivity measurement. This method is widely used as a relative measure of dissolved inorganic salts and many conductivity/TDS (Total Dissolved Solids) meters are available on the market. The relationship between dissolved solids and conductivity differs for each type of ion depending on the charge and size of the ion. Empirical constants to convert conductivity (mS cm") to dissolved solids (mg L"1) may vary considerably, i.e.
between 0.55 and 0.9 depending on ion type, concentration and temperature, American Public Health Association, Standard Methods for the Examination of Water and Wastewater, American Public Health Association, American Water Works Association, Water Pollution Control Federation, Washington D.C. 1992, pp. 2-47. However, the amount of dissolved solids measured by conductivity is only reliable when specific inorganic salts dominate the dissolved solids present in the water.
Conversely, conductivity measurements present a poor measure of the amount of dissolved solids when substances with little or no ionic charge contribute substantially to the amount of dissolved solids.
The principle disadvantages of using conductivity as a measure of the amount of dissolved solids are related to inaccuracies arising from the differences in the specific conductivity of different ions, association or chelation of positive or negative ions resulting in inactive ions, and the poor detection of organic acids and organic neutral substances. In a paper mill situation the relative ratio of dissolved inorganic salts to dissolved organic material varies dramatically depending on the location in the pulp processing sequence. For example, in a lignin retaining pulp brightening process, such as sodium hydrosulfite bleaching, the variation in the amount of dissolved solids may be largely related to the amount of bleach applied and the residual sulfur species resulting from hydrosulfite decomposition.
2 SUBSTITUTE SHEET (RULE 26) The patent literature describes applications using conductivity measurements to control water introduction, counter-current flow or sewer flow in pulp or paper processing. The objective of the control of the amount of dissolved solids using conductivity measurements has been to improve the washing, separation and removal of solids and to minimize scaling and deposition. Rosenberger (U.S. Patent No. 4,096,028) discloses feed-forward control of the amount of dissolved material in a counter-current flowing liquid using conductivity measurements and flow rates. Sexton (U.S. Patent No.
4,046,621) disclosed a feed backwards method for the control of pulp treatment using conductivity measurements. Heoksema et al. disclose an apparatus for conductivity measurements of pulp washing liquors from a drum type washer. Lisnyansky and Blaecha taught a control strategy for optimizing the efficiency of counter-current flow pulp washing based on a dilution factor or soda wash.
In a counter-current flow pulp treatment or washing not only the removal of dissolved ions may be controlled by a conductivity measurement but the accumulation of the water may also be measured and controlled. The benefits of maintaining a low or constant amount of dissolved solids are related to solubility equilibria which influence the extraction of unwanted material from pulp and also govern the deposition and precipitation reactions leading to unwanted scale and deposits.
The absorbance from selected wavelengths of the UV may be used as a measure of the relative quantity of extractives and lignin or carbohydrate derived components.
Marcoccia et al. (U.S. Patent No. 5,547,012) teach a method of control of kraft pulping by controlling the amount of dissolved organic material in a continuous digestor.
Sloan (U.S. Patent No. 4,886,576) teaches a method for using the UV absorbance of lignin dissolved during digester cooking for control of pulp cooking parameters and refiner energy. Manook et al. (U.S. Patent No. 5,420, 432 or Cdn. Patent No.
2,106,472) disclose an organic pollutant monitor based on UV absorbance measurements for the determination of the amount of organic matter.
4,046,621) disclosed a feed backwards method for the control of pulp treatment using conductivity measurements. Heoksema et al. disclose an apparatus for conductivity measurements of pulp washing liquors from a drum type washer. Lisnyansky and Blaecha taught a control strategy for optimizing the efficiency of counter-current flow pulp washing based on a dilution factor or soda wash.
In a counter-current flow pulp treatment or washing not only the removal of dissolved ions may be controlled by a conductivity measurement but the accumulation of the water may also be measured and controlled. The benefits of maintaining a low or constant amount of dissolved solids are related to solubility equilibria which influence the extraction of unwanted material from pulp and also govern the deposition and precipitation reactions leading to unwanted scale and deposits.
The absorbance from selected wavelengths of the UV may be used as a measure of the relative quantity of extractives and lignin or carbohydrate derived components.
Marcoccia et al. (U.S. Patent No. 5,547,012) teach a method of control of kraft pulping by controlling the amount of dissolved organic material in a continuous digestor.
Sloan (U.S. Patent No. 4,886,576) teaches a method for using the UV absorbance of lignin dissolved during digester cooking for control of pulp cooking parameters and refiner energy. Manook et al. (U.S. Patent No. 5,420, 432 or Cdn. Patent No.
2,106,472) disclose an organic pollutant monitor based on UV absorbance measurements for the determination of the amount of organic matter.
3 SUBSTITUTE SHEET (RULE 26) WO 91/17305 by Paulonis et al. discloses a method and an apparatus for determining the concentrations of each of three components, namely sodium hydroxide, sodium sulfide, and sodium carbonate, that are intermixed in a homogeneous solution. The method taught by Paulonis et al. involves a mathematical relationship between the concentration of each of the components and detectable characteristics. The characteristics measured by Paulonis et al. are refractive index, absorbance, and conductivity.
However, there is no mention in WO 91/17305 to combine UV and conductivity measurements in such a manner as to include either a product or a ratio of the two characteristics into the mathematical relationship for determining the concentration of the components.
The present invention demonstrates that using a product or a ratio between conductivity and absorbance provides a better measure for the determination of dissolved solids. Further, the method and the apparatus disclosed by Paulonis et al. teach a method and an apparatus for analyzing inorganic components. The present invention discloses a method for measuring both organic and inorganic dissolved solids from a same sample.
GB-A 2,282,880 by Owens discloses an ultraviolet absorbency-based monitor for measuring the amount of organic pollution in a liquid. Furthermore, U.S.
Patent No.
5,420,432 to Manook et al. discloses an ultraviolet absorbance-based organic pollutant monitor. EP-A 0,559,305 by Richardson et al. teaches a method for simultaneously monitoring the concentration of multiple performance indicators in an aqueous system by analyzing the spectrum of the aqueous system between 200 nm and 2500 nm and applying chemometric algorithms to simultaneously determine the concentration of the performance indicators. GB-A 2,282,880, U.S. Patent No. 5,420,432 and EP-A
0,559,305 all disclose UV absorption measurements in an aqueous sample for the purpose of determining dissolved organic components within the sample. The present invention discloses an apparatus and a method for determining both organic and inorganic dissolved solids in a sample. Further, in accordance with an embodiment of the present invention the dissolved matter is determined from a mathematical relationship including at least a product or a ratio of the measured absorbance and conductivity.
This is not suggested in the above-cited prior art references.
3a AMENDED SHEET
Papermaker's demands for high speed and efficiency, flexible manufacturing, stringent quality standards, and environmental compatibility coupled with new developments in on-line process control are driving the development of new sensor technology for the paper machine wet-end. The need for better means for providing wet-end chemistry control is emphasized by recent reports that only 10% of the world's 150 newsprint paper machines operate at above 88% efficiency and over 60 % operate under in the low efficiency range of below 82.5%. (Mardon, J., Chinn, G. P., O'Blenes, G., Robertson, G..
Tkacz, A. Pulp and Paper Canada, 99(5) 43-46. (1998).
Nazair and Jones teach that wet-end variability arising from practical determinants and disturbances leads to variations in molecular and colloidal interactions that result in practical consequences in terms of the process and the product (Nazair, B. A;
Jones, J. C.
(Paper Technology 32(10) 37-41. 1991. Optimizing wet-end chemistry- the practicalities.). Practical determinants include the type of fumish, fillers, chemical being used, addition rates, addition points, refining, pH, temperature and consistency.
Disturbances include broke, machine breaks, quality of materials, machine wear and seasonality. These variations may deleteriously effect system cleanliness, runability, first pass retention and product quality factors including formation, sizing, uniformity, strength, porosity and defects. The high capital cost of paper machines demands maximization of paper machine efficiency and quality. The papermaker will attempt to minimize system-input variation and counteract variation in practical determinants and disturbances so as to minimize variation and degradation of process efficiency and product quality.
The consequences of poor control of the variation, total level and composition of dissolved substances have been recognized by numerous authors. Gill teaches the importance of variation control of dissolved and colloidal substances in the paper machine wet-end. "Dissolved and colloidal substances (DCS) are released from the water phase from contaminated pulps or broke, and form deposits at the wet-end, press section, machine fabrics and rolls. These deposits cause: downtime; defective products;
sheet breaks; frequent fabrics change." William E. Scott address problems related to wet-end chemistry control. Principles of Wet End Chemistry. Tappi Press, Atlanta, 1996. p 3.
However, there is no mention in WO 91/17305 to combine UV and conductivity measurements in such a manner as to include either a product or a ratio of the two characteristics into the mathematical relationship for determining the concentration of the components.
The present invention demonstrates that using a product or a ratio between conductivity and absorbance provides a better measure for the determination of dissolved solids. Further, the method and the apparatus disclosed by Paulonis et al. teach a method and an apparatus for analyzing inorganic components. The present invention discloses a method for measuring both organic and inorganic dissolved solids from a same sample.
GB-A 2,282,880 by Owens discloses an ultraviolet absorbency-based monitor for measuring the amount of organic pollution in a liquid. Furthermore, U.S.
Patent No.
5,420,432 to Manook et al. discloses an ultraviolet absorbance-based organic pollutant monitor. EP-A 0,559,305 by Richardson et al. teaches a method for simultaneously monitoring the concentration of multiple performance indicators in an aqueous system by analyzing the spectrum of the aqueous system between 200 nm and 2500 nm and applying chemometric algorithms to simultaneously determine the concentration of the performance indicators. GB-A 2,282,880, U.S. Patent No. 5,420,432 and EP-A
0,559,305 all disclose UV absorption measurements in an aqueous sample for the purpose of determining dissolved organic components within the sample. The present invention discloses an apparatus and a method for determining both organic and inorganic dissolved solids in a sample. Further, in accordance with an embodiment of the present invention the dissolved matter is determined from a mathematical relationship including at least a product or a ratio of the measured absorbance and conductivity.
This is not suggested in the above-cited prior art references.
3a AMENDED SHEET
Papermaker's demands for high speed and efficiency, flexible manufacturing, stringent quality standards, and environmental compatibility coupled with new developments in on-line process control are driving the development of new sensor technology for the paper machine wet-end. The need for better means for providing wet-end chemistry control is emphasized by recent reports that only 10% of the world's 150 newsprint paper machines operate at above 88% efficiency and over 60 % operate under in the low efficiency range of below 82.5%. (Mardon, J., Chinn, G. P., O'Blenes, G., Robertson, G..
Tkacz, A. Pulp and Paper Canada, 99(5) 43-46. (1998).
Nazair and Jones teach that wet-end variability arising from practical determinants and disturbances leads to variations in molecular and colloidal interactions that result in practical consequences in terms of the process and the product (Nazair, B. A;
Jones, J. C.
(Paper Technology 32(10) 37-41. 1991. Optimizing wet-end chemistry- the practicalities.). Practical determinants include the type of fumish, fillers, chemical being used, addition rates, addition points, refining, pH, temperature and consistency.
Disturbances include broke, machine breaks, quality of materials, machine wear and seasonality. These variations may deleteriously effect system cleanliness, runability, first pass retention and product quality factors including formation, sizing, uniformity, strength, porosity and defects. The high capital cost of paper machines demands maximization of paper machine efficiency and quality. The papermaker will attempt to minimize system-input variation and counteract variation in practical determinants and disturbances so as to minimize variation and degradation of process efficiency and product quality.
The consequences of poor control of the variation, total level and composition of dissolved substances have been recognized by numerous authors. Gill teaches the importance of variation control of dissolved and colloidal substances in the paper machine wet-end. "Dissolved and colloidal substances (DCS) are released from the water phase from contaminated pulps or broke, and form deposits at the wet-end, press section, machine fabrics and rolls. These deposits cause: downtime; defective products;
sheet breaks; frequent fabrics change." William E. Scott address problems related to wet-end chemistry control. Principles of Wet End Chemistry. Tappi Press, Atlanta, 1996. p 3.
4 SUBSTITUTE SHEET (RULE 26) "Deposits and scale usually arise from out-of-control wet end chemistry.
Typical examples include chemical additive overdosing, charge imbalances, chemical incompatibility and the shifting of chemical equilibria. All of these phenomena can lead to the formation of precipitates or colloidal aggregates that produce deposits and scale.
While there are numerous approaches to treating the symptoms of deposits the best approach is to determine what is out of control and fix it."
One simple measure of the variability of the wet-end system chemistry is the level of dissolved organic and inorganic solids in the paper machine white water system. Tools.
that have become available for wet-end chemistry monitoring include retention monitoring, turbidity and electrokinetic potential (streaming current, cation charge demand, and zeta-potential) instruments. On-line instrumentation for monitoring and controlling the inorganic and organic dissolved and colloidal solids in a paper mill is at present limited to conductivity measurement or on-line charge measurement.
While off-line total dissolved solids, turbidity, pitch counts, COD and TOC measurements may be used. In summary, the presently available means for on-line monitoring of wet-end chemistry fall short of providing reliable measurement of dissolved organic and inorganic solids.
Chemicals can provide control of the levels of DCS and deposit formation can be eliminated or reduced to tolerable levels by careful control of water flow and addition of chemicals for either dispersing or adsorbing and coagulating dissolved and colloidal substances. (Gill, R. S. Paper Technology, 37, July/August, 1996. 23-31.
Chemical control of deposits-scopes and limitations.) It is an object of the present invention to provide a method and an apparatus for on-line measurement of the amount of dissolved solids in a liquid sample, such as in a pulp or paper mill process water or effluent.
It is another object of the invention to provide an analyzer for total dissolved solids by combining conductivity and UV measurements of a liquid sample. In combination, these measurements are used to determine the total dissolved solids in a liquid using a
Typical examples include chemical additive overdosing, charge imbalances, chemical incompatibility and the shifting of chemical equilibria. All of these phenomena can lead to the formation of precipitates or colloidal aggregates that produce deposits and scale.
While there are numerous approaches to treating the symptoms of deposits the best approach is to determine what is out of control and fix it."
One simple measure of the variability of the wet-end system chemistry is the level of dissolved organic and inorganic solids in the paper machine white water system. Tools.
that have become available for wet-end chemistry monitoring include retention monitoring, turbidity and electrokinetic potential (streaming current, cation charge demand, and zeta-potential) instruments. On-line instrumentation for monitoring and controlling the inorganic and organic dissolved and colloidal solids in a paper mill is at present limited to conductivity measurement or on-line charge measurement.
While off-line total dissolved solids, turbidity, pitch counts, COD and TOC measurements may be used. In summary, the presently available means for on-line monitoring of wet-end chemistry fall short of providing reliable measurement of dissolved organic and inorganic solids.
Chemicals can provide control of the levels of DCS and deposit formation can be eliminated or reduced to tolerable levels by careful control of water flow and addition of chemicals for either dispersing or adsorbing and coagulating dissolved and colloidal substances. (Gill, R. S. Paper Technology, 37, July/August, 1996. 23-31.
Chemical control of deposits-scopes and limitations.) It is an object of the present invention to provide a method and an apparatus for on-line measurement of the amount of dissolved solids in a liquid sample, such as in a pulp or paper mill process water or effluent.
It is another object of the invention to provide an analyzer for total dissolved solids by combining conductivity and UV measurements of a liquid sample. In combination, these measurements are used to determine the total dissolved solids in a liquid using a
5 SUBSTITUTE SHEET (RULE 26) mathematical relationship for expressing the relationship between variables.
Furthermore, additional mathematical relationships are provided for estimating the relative contribution of inorganic and organic dissolved components, or ionic and non-ionic components.
According to a specific object of the invention an on-line measurement and control system for dissolved substances in paper mill process waters is provided.
Environmental concerns and demanding manufacturing processes afford the development of sensors. In accordance with the invention the amount of dissolved solids is measured as a function of both UV absorbance and conductivity of the sample. High levels of dissolved solids and variation in the amount of dissolved solids leads to runability problems of paper machines. Thus, to improve the manufacturing process in a pulp and paper mill better control of the amount of dissolved solids in process water, such as white water, is needed.
Summary of the Invention A method for determining an amount of dissolved matter in a liquid sample is provided in accordance with the invention, comprising the steps of:
(a) irradiating at least a portion of the liquid sample with light of at least a first wavelength within a range of wavelengths in an ultraviolet region, wherein said range of wavelengths is for allowing an absorption measurement of said liquid sample;
(b) measuring an absorption of the first wavelength by the liquid sample;
(c) measuring a conductivity of the liquid sample; and (d) computing the amount of dissolved matter in the liquid sample from a first relationship between the measured absorption of the first wavelength by the liquid sample and the measured conductivity of the liquid sample using a suitably programmed processor.
In accordance with another aspect of the invention an apparatus is provided for determining an amount of dissolved matter in a liquid sample comprising:
Furthermore, additional mathematical relationships are provided for estimating the relative contribution of inorganic and organic dissolved components, or ionic and non-ionic components.
According to a specific object of the invention an on-line measurement and control system for dissolved substances in paper mill process waters is provided.
Environmental concerns and demanding manufacturing processes afford the development of sensors. In accordance with the invention the amount of dissolved solids is measured as a function of both UV absorbance and conductivity of the sample. High levels of dissolved solids and variation in the amount of dissolved solids leads to runability problems of paper machines. Thus, to improve the manufacturing process in a pulp and paper mill better control of the amount of dissolved solids in process water, such as white water, is needed.
Summary of the Invention A method for determining an amount of dissolved matter in a liquid sample is provided in accordance with the invention, comprising the steps of:
(a) irradiating at least a portion of the liquid sample with light of at least a first wavelength within a range of wavelengths in an ultraviolet region, wherein said range of wavelengths is for allowing an absorption measurement of said liquid sample;
(b) measuring an absorption of the first wavelength by the liquid sample;
(c) measuring a conductivity of the liquid sample; and (d) computing the amount of dissolved matter in the liquid sample from a first relationship between the measured absorption of the first wavelength by the liquid sample and the measured conductivity of the liquid sample using a suitably programmed processor.
In accordance with another aspect of the invention an apparatus is provided for determining an amount of dissolved matter in a liquid sample comprising:
6 SUBSTITUTE SHEET (RULE 26) (a) an ultraviolet detection unit for measuring an absorption of at least a first wavelength within a range of wavelength in an ultraviolet region, said ultraviolet detection unit for measuring the absorption by the liquid sample;
(b) a conductivity unit for measuring a conductivity of the liquid sample; and (c) a suitably programmed processor for determining a first relationship between the absorption of the first wavelength by the liquid sample and the conductivity of the liquid sample for computing the amount of dissolved solids in the liquid sample.
In accordance with the invention there is further provided a method for controlling an amount of dissolved solids in a process water from pulp and paper processing using one of a counter-current flow process and a discrete chemical treatment process comprising the steps of:
(a) measuring an absorbance of the process water at a first wavelength within a range of wavelength in an ultraviolet region;
(b) measuring the conductivity of the process water; and (c) determining the amount of dissolved solids in the process water from a first relationship in dependence upon the measured absorbance and the measured conductivity.
Brief Description of the Drawings Exemplary embodiments of the invention will now be described in accordance with the drawings in which:
Figure 1 is a schematic diagram of the Dissolved Solids Analyzer;
Figure 2 presents a scatterplot of the amount of total dissolved solids versus the product of UV absorbance and conductivity;
Figure 3 shows a scatterplot presenting normalized data from the dissolved solids analyzer;
(b) a conductivity unit for measuring a conductivity of the liquid sample; and (c) a suitably programmed processor for determining a first relationship between the absorption of the first wavelength by the liquid sample and the conductivity of the liquid sample for computing the amount of dissolved solids in the liquid sample.
In accordance with the invention there is further provided a method for controlling an amount of dissolved solids in a process water from pulp and paper processing using one of a counter-current flow process and a discrete chemical treatment process comprising the steps of:
(a) measuring an absorbance of the process water at a first wavelength within a range of wavelength in an ultraviolet region;
(b) measuring the conductivity of the process water; and (c) determining the amount of dissolved solids in the process water from a first relationship in dependence upon the measured absorbance and the measured conductivity.
Brief Description of the Drawings Exemplary embodiments of the invention will now be described in accordance with the drawings in which:
Figure 1 is a schematic diagram of the Dissolved Solids Analyzer;
Figure 2 presents a scatterplot of the amount of total dissolved solids versus the product of UV absorbance and conductivity;
Figure 3 shows a scatterplot presenting normalized data from the dissolved solids analyzer;
7 SUBSTITUTE SHEET (RULE 26) Figure 4 presents a plot of conductivity, UV absorbance and TDS as measured from white water in deinked pulp High Density (HD) storage;
Figure 5 presents a plot of conductivity, UV absorbance and TDS as measured from white water in TMP pulp High Density (HD) storage;
Figure 6 presents a plot of conductivity, UV absorbance and TDS as measured from white water in the paper machine 5 headbox;
Figure 7 presents a matrix plot showing the relationship between TDS, UV
absorbance, conductivity, and the product of UV absorbance and conductivity;
Figure 8 presents mill data obtained with the dissolved solids analyzer showing conductivity and UV components over a period of time;
Figure 8a shows mill data obtained with the total dissolved solids analyzer and presents a plot of the product (UV absorbance*conductivity) and the ratio (conductivity/UV) as a function of time;
Figure 9 shows a graph of the turbidity versus the ratio of the UV absorbance to the conductivity;
Figure 10 shows a scatterplot of the turbidity and the ratio of the UV
absorbance to the conductivity over a period of time;
Figure 11 shows a plot of UV absorbance of centrifuged and filtered TMP white water in dependence upon the amount of cationic polymer;
Figure 12 presents a plot of the variation of UV absorbance as a function of added cationic polymer;
Figure 12a shows a plot of UV absorbance vs. pH;
Figure 5 presents a plot of conductivity, UV absorbance and TDS as measured from white water in TMP pulp High Density (HD) storage;
Figure 6 presents a plot of conductivity, UV absorbance and TDS as measured from white water in the paper machine 5 headbox;
Figure 7 presents a matrix plot showing the relationship between TDS, UV
absorbance, conductivity, and the product of UV absorbance and conductivity;
Figure 8 presents mill data obtained with the dissolved solids analyzer showing conductivity and UV components over a period of time;
Figure 8a shows mill data obtained with the total dissolved solids analyzer and presents a plot of the product (UV absorbance*conductivity) and the ratio (conductivity/UV) as a function of time;
Figure 9 shows a graph of the turbidity versus the ratio of the UV absorbance to the conductivity;
Figure 10 shows a scatterplot of the turbidity and the ratio of the UV
absorbance to the conductivity over a period of time;
Figure 11 shows a plot of UV absorbance of centrifuged and filtered TMP white water in dependence upon the amount of cationic polymer;
Figure 12 presents a plot of the variation of UV absorbance as a function of added cationic polymer;
Figure 12a shows a plot of UV absorbance vs. pH;
8 SUBSTITUTE SHEET (RULE 26) Figure 13 presents a detailed diagrarn showing potential points for application of the Dissolved Solids Analyzer in an integrated pulp and paper mill;
Figure 14 presents a block diagram showing elements of measurement and the control of dissolved solids in an integrated newsprint mill; and Figure 15 is a plot showing the components of the TDS equation broken down into the UV contribution, signifying the organic portion of the TDS, and the conductivity contribution, signifying the inorganic portion of the TDS.
Detailed Description of the Invention The method and the apparatus in accordance with the invention provides for on-line measurements of dissolved solids in a liquid sample. This invention is particularly useful for determining or estimating the amount of dissolved solids in pulp or paper mill process water or effluents. Referring now to Figure 1, a schematic diagram of the dissolved solids analyzer is shown. The flow of the liquid sample is shown as solid black lines and the data flow is shown as dashed lines. A liquid sample is introduced into the sample manifold 98 by opening an inlet valve 96. In a preferred embodiment, the apparatus in agreement with the invention has a plurality of inlet valves 96a-f, as shown in Figure 1, for receiving samples from a plurality of processes in an integrated pulp and paper mill.
Valves 96a-f are in communication with a logic controller 180 for controlling the delivery of liquid samples to the sample manifold 98. The sample manifold 98 is in communication with a filtration unit 100. The function of the filtration unit 100 is to filter the liquid sample in a reproducible manner for removing particulates therefrom.
The liquid sample is passed through a Minworth SystemsTM (MSL) filtration unit with "Zeeweed" TM hollow fiber microfilter 104 manufactured by Zenon LabsTM.
This system has automated continuous cleaning and back-flushing. The filter 102 works for white water at temperatures of 45 C and below. Those skilled in the art will appreciate that another filtration system may serve in place of the Zenon LabsTM hollow fiber microfilter. In order to obtain a reproducible measurement the filter 102 is chosen to be
Figure 14 presents a block diagram showing elements of measurement and the control of dissolved solids in an integrated newsprint mill; and Figure 15 is a plot showing the components of the TDS equation broken down into the UV contribution, signifying the organic portion of the TDS, and the conductivity contribution, signifying the inorganic portion of the TDS.
Detailed Description of the Invention The method and the apparatus in accordance with the invention provides for on-line measurements of dissolved solids in a liquid sample. This invention is particularly useful for determining or estimating the amount of dissolved solids in pulp or paper mill process water or effluents. Referring now to Figure 1, a schematic diagram of the dissolved solids analyzer is shown. The flow of the liquid sample is shown as solid black lines and the data flow is shown as dashed lines. A liquid sample is introduced into the sample manifold 98 by opening an inlet valve 96. In a preferred embodiment, the apparatus in agreement with the invention has a plurality of inlet valves 96a-f, as shown in Figure 1, for receiving samples from a plurality of processes in an integrated pulp and paper mill.
Valves 96a-f are in communication with a logic controller 180 for controlling the delivery of liquid samples to the sample manifold 98. The sample manifold 98 is in communication with a filtration unit 100. The function of the filtration unit 100 is to filter the liquid sample in a reproducible manner for removing particulates therefrom.
The liquid sample is passed through a Minworth SystemsTM (MSL) filtration unit with "Zeeweed" TM hollow fiber microfilter 104 manufactured by Zenon LabsTM.
This system has automated continuous cleaning and back-flushing. The filter 102 works for white water at temperatures of 45 C and below. Those skilled in the art will appreciate that another filtration system may serve in place of the Zenon LabsTM hollow fiber microfilter. In order to obtain a reproducible measurement the filter 102 is chosen to be
9 ANlENDED SNEET
of the cross-flow type or tangential-flow type with the flow across the membrane being 20-100 times the flow through the membrane. Furthermore, the filter should be regularly backed-pulsed with the filtrate to ensure minimal accumulation of suspended solids on the filter surface. Filtering through a filter cake leads to unreliable ultraviolet (UV) measurements of a pulp or paper mill process water because an accumulating filter cake consisting of pulp fiber, fines and colloids will result in the selective removal of some dissolved substances. Filters which utilize the cross-flow principle to minimize filter cake formation are for example tubular membrane filters by KochTM Membrane Systems, Inc. and sintered metal filters by MottTM Industries. However, the liquid samples may also be manually introduced into the system through a sample port.
After the liquid sample is filtered in the filtration unit 100 it is directed to the sample manager 120. The sample manager consists of a valve 121 for delivering the filtered liquid sample to the UV detection unit 140 and the conductivity unit 160, a valve 126 for delivering fresh water from the fresh water reservoir 124 to the UV detection unit 140 and the conductivity unit 160, a valve 130 for delivering a cleaning fluid from the cleaning fluid reservoir 128 to the UV detection unit 140 and the conductivity unit 160, a pump 122 for delivering the liquid sample, the fresh water or the cleaning fluid from the sample manager 120 to the UV detection unit 140 and the conductivity unit 160, and a pressure sensor 132. Valves 121, 126, 130, and the pressure sensor 132 are in communication with a logic controller 180. The pressure sensor 132 provides feedback to the logic controller 180 for controlling a cleaning cycle.
The pump 122 delivers the liquid sample to the UV detection unit 140. In the UV
detection unit 140, the liquid sample is passed through a flow-through cell 142. This flow-through cell 142 is irradiated with UV light provided by a UV light source 144 located on one side of the flow-through cell 142. A light detector 146, located on another side of the flow-through cell 142, measures the absorbance of UV light as it traverses the liquid sample. The light detector 146 is connected to a wavelength selector 148 and the logic controller 180. The raw data of UV light absorbance by the liquid sample is passed from the light detector 146 to the logic controller 180 for further data processing. In a AMENDED SHEET
preferred embodiment a variable wavelength UV-visible spectrophotometer is used, such as a ShimadzuTM UV-visible HPLC detector set, or a D-starTM DFW-20/21 detector. The UV detector may be purchased as an assembled unit or manufactured within an integrated dissolved solids detection system. Many single (fixed) wavelength or selectable wavelength UV-visible spectrophotometers are commercially available. However, the most important components of the UV detection unit 140 are:
i) the light detector 146, such as a silicon photovoltaic detector (SiemensTM) or a photomultiplier;
ii) the wavelength selector 148, such as a monochromator or a 280 run interference filter for 280 nm (OrielTM, Edmond ScientificTM);
iii) the UV light source 144, such as a deuterium lamp or a xenon arc light source, examples include McPhersonTM, EGGTM, Ocean OpticsTM, ILCTM;
iv) the flow-through cell 142, such as a 1 mm quartz or SuprasilTM flow-through cell (HelmaTM, 170.000) The UV detection unit is in its preferred embodiment temperature controlled with high quality power supplies for the UV light source and the light detector.
The preferred wavelength for measuring the UV absorbance is 280 ( 2) nm.
However, a wavelength range between 205-380 nm produces suitable results.
After passing through the UV detection unit 140 the liquid sample is delivered to the conductivity unit 160. This conductivity unit 160 consists of a conductivity probe 162 and a conductivity analyzer 164. The conductivity probe 162 is a flow-through contact probe with a cell constant of 1. The specifications for the conductivity analyzer 164 are as follows:
Ranges: Conductivity (switchable) 0 to 19.99 mS/cm 0 to 1999.9 S/cm 0 to 199.9 S/cm Temperature range 0 to 100 C
Resolution: Conductivity 1 S/cm Temperature 0.1 C
Accuracy: Conductivity +1-0.5%
Temperature 0.5 C
Temperature compensation 0 to 100 C
AMENDED SHEET
Excitation frequency 1 kHz Reference temperature 0 to 100 C
Cell constant 0.2 (programmable) Examples of suitable conductivity analyzers that can be used in the apparatus shown in Figure 1 are GLI Model C33TM, the ICTM Controls conductivity analyzer, the HoneywellT"" 9782 Analyzer, and the HachTM Mode1471 conductivity analyzer. The conductivity unit 160 is connected to the logic controller 180 and the raw data obtained from conductivity measurements of the liquid sample are delivered from the conductivity analyzer 164 to the logic controller 180 for further data processing.
Conductivity, also called specific conductance (K), is the conductance compensated for the area of the electrodes A and the distance between the electrodes 1. These constants that are related to the measurement process rather than the intrinsic property of the medium are often lumped together as a cell constant A
Specific conductance measurement for pulp and paper process waters often will average around 1000 S cm"1, and may range between 400 - 40000 S cm"t. The cell constant for paper machine white water should be between 1.0 and 10Ø The conductance may be written as G = x~=~ or the conductivity may be written as K=~
The proper units for conductivity are S cm". Conductivity measurements are typically made using an AC current cycling between 60-1000 Hz with plantinized platinum electrodes and a modified Wheatstone bridge. Non-contact, toroidal conductivity probes are sometimes used to avoid electrode fouling under heavy fouling conditions.
Conductivity is temperature sensitive and measurements are normally temperature compensated.
Alternatively, if desired, the conductivity unit is placed between the sample manifold 98 and the filtration unit 100 as the conductivity measurement is not influenced by the filtration process.
AAIENDED SHEET
The logic controller 180 is a programmable unit which drives the components of the apparatus presented in Figure 1 in a predetermined sequence. This logic controller 180 provides six 24 V DC outputs for controlling the valves 96a-f, 121, 126, 130 and the pump 122 as well as six analog inputs/outputs for the light detector 146, the pressure sensor 132 and the conductivity analyzer 164. An example for a possible logic controller to be used in the invention is the Allen BradleyTM 5/03 PLC. A smaller logic controller, such as the Allen Bradley MicrologixTM 1000 also fulfills the requirements for the logic controller 180. However, the system logic and the data acquisition system could be custom designed and manufactured.
In one embodiment the raw data obtained from the light detector 146 and the conductivity analyzer 164 are directly delivered to a FoxboroT'" Distributed Control System (D.C.S.).
There they can be accessed through the Aspen Technologies'T"' Process Management Information System (PMIS) using a Process ExplorerTM software.
After a liquid sample has been passed through the apparatus shown in Figure 1 for determining the amount of dissolved solids in the liquid sample it is advantageous to perform a cleaning cycle. The logic controller 180 is opening/closing valve 126 for flushing the apparatus with fresh water, valve 130 for flushing the apparatus with a cleaning fluid and valve 121 for preventing the liquid sample from being delivered to the UV detection unit 140 and the conductivity unit 160 when a cleaning cycle is performed.
The pressure sensor 132 provides the feedback to the logic controller 180 for controlling the cleaning cycle, i.e. it provides the logic controller with the information which valves are to be opened/closed. Pump 122 delivers the fresh water or the cleaning fluid to the UV detection unit 140 and the conductivity unit 160.
In the specification the determination of dissolved matter can be expressed as either an exact quantity of measured/computed (via a UV and conductivity product) of dissolved matter or alternatively the relative quantity can be expressed in form of a UV
conductivity ratio.
AMENDED SHEET
In accordance with the invention the total amount of dissolved solids (TDS) in the liquid sample is determined from a mathematical relationship combining the UV
absorbance and the conductivity measurements of the liquid sample. There is an excellent correlation between the total amount of dissolved solids (TDS) and a combination of conductivity and UV measurements. Several mathematical relationships appear to give good results for accurately predicting the TDS from a UV and conductivity measurement. The empirical relationship is set and may be updated by multilinear correlation of the UV
absorbance and conductivity with measured TDS. Typically, one of the following mathematical relationships for white water filtered at 0.45 microns is used:
Paper Machine 5 White water TDS = 851.97 + 2.03 7* Conductivity* UV2.0 Multi lp e R= 0.887 Paper Machine 5 White water TDS = 2303.59*UV2E0+ 0.918*Conductivity + -0.422* UV280* Conductivity The relationship between TDS and UV absorbance and conductivity is relatively constant over extended periods in the paper mill. Using the data from paper machine 3white water (3ww), paper machine 4 white water (4ww), and paper machine 5 white water (5ww) for the period between April 9-28, 1996 the following relations are obtained:
For 3ww, 4ww, 5ww coznbined TDSpred= 788.79+0.19899*UVa,O*Conductivity R=0.9028 TDSP,,=177.77+0.5398*Conductivity+266.09*UVZ,, R=0.9033 For 3ww TDSaed= 810+0.1855*UVz,,*Conductivity R=0.865 TDSpma 259+0.5301*Conductivity+191.55*UVZ90 R=0.865 For 4ww TDSpma 774+0.203 3 5*UV,90* Conductivity R=0.930 TDS~a 109.25+0.5161 *Conductivity+259.62*UV_$a R=0.9563 For 5ww TDSpma 788.8+0.1814*UV,80*Conductivity R=0.857 TDSp.d 547+0.59508*Conductivity+94.66*UVZ90 R=0.844 SUBSTITUTE SHEET (RULE 26) This is presented in Figure 2 showing a scatterplot of the amount of total dissolved solids versus the product of UV absorbance and conductivity. Figure 3 shows a scatterplot presenting normalized data, i.e. divided by the average, from the dissolved solids analyzer showing relative conductivity, UV measurements, the product of UV
*conductivity, and the ratio UV/conductivity. The product of UV*conductivity (UVCONDNO) shows the greatest relative variation and thereby provides a more comprehensive measure of accumulation of dissolved matter as compared to the individual UV and conductivity measurements. The ratio of the UV and conductivity measurements may deviate from its normal value when the relative contribution of the inorganic and organic components is shifted. Figure 3 shows the gradual accumulation of dissolved components over a period of time.
Figures 4-6 show three dimensional plots demonstrating the variation of TDS as a function of UV and conductivity. The variation in UV absorbance is greatest in the Thermomechanical pulp (TMP) line as shown in Figure 5 and the variation in conductivity is greatest in the de-inked pulp line as shown in Figure 4. The dominate contributions to the TDS are wood extractives and hemicellulose components from TMP
and dissolved inorganic fillers and process chemicals from the de-inked pulp.
Although these graphs look substantially different for the different testing zone the principle variation is in the amount of variation of the UV or conductivity measurement.
The multiple regression of TDS against conductivity, UV and the interaction between the two (conductivity* UV) is similar but with some variation of the weighting of the conductivity and UV as a function of sampling zone.
Regression models for UV, conductivity, TDS data shown in Figures 4-6. At each sensor location the relationship between the TDS and the measured conductivity and UV
absorbance of the filtered liquid samples has to be established and periodically tested.
Several possible multiple regression models are shown for the different furnish over a three month period at the Avenor-Thunder Bay integrated pulp and paper mill. A
comparison of the different models at the various locations provides some indication of how robust each of the models will be to variation in the furnish composition.
Model A, SUBSTITUTE SHEET (RULE 26) with an intercept and linear coefficients on cach variable is poor because of the variability in the intercept. Model B is reasonable and correct. Model C accounts for the interaction between the conductivity and UV variables. This interaction, quite high for the deinked pulp can be important from a control point of view in that it indicates that when both conductivity and UV increase there will be deposition of the dissolved substances. An important aim of a control strategy is to minimize the interaction of the various dissolved components. Model D is a simple one parameter model based on the product of the UV
absorbance and conductivity. This model is probably the most robust model over time because it only involves one coefficient. In some instances, it is a benefit in having a simple model.
Head Box A. TDS = 258 + 0.729*conductivity + 1718*UV280 B. TDS = 0.921 *conductivity + 1905* UV280 C. TDS = 1.010*conductivity + 2347*UV280 - 0.675*UV280*conductivity D. TDS = 943 + 1.808 * UV280* conductivity Thermomechanical Pulp A. TDS = 426.8 + 0.792*conductivity + 1505*UV280 B. TDS = 0.947*conductivity + 1906*UV280 C. TDS = 1.194*conductivity + 2219*UV280 - 0.663*UV280*conductivity D. TDS = 1318.8 + 1.322*UV280*conductivity Deinked Pulp A. TDS = 777 + 0.6576*conductivity + 362.8*UV280 B. TDS = 1. 03 6* conductivity + 11309* UV2B0 C. TDS = 1.238*conductivity + 3357* UV280 - 2.262*UV280*conductivity D. TDS = 1370 + 1.05*UV280*conductivity Fractions of inorganic and organic dissolved solids can be determined.
Inorganic dissolved solids contribute mainly to the conductivity and organic dissolved solids contribute mainly to the UV absorbance. Using the coefficients of the TDS
equation the portion of TDS that is derived from the conductivity (inorganic) or the UV
absorbance SUBSTITUTE SHEET (RULE 26) (organic) may be derived. This provides a good relative measure of the portions of inorganic and organic components that contribute to the total amount of dissolved solids.
The amount of organic dissolved solids is determined from their contribution to the UV
term to the predicted dissolved solids terms. Thus for the above equation:
2303.59 * UV280 TDSu,~,,,,~ = 2303.59 * UV280 + 0.918 * Conductivity - 0.422 * UV280 *
Conductivity The amount of inorganic dissolved solids is determined from their contribution to the conductivity term to the predicted dissolved solids term. Thus for the above equation:
TDS = 0.918 * Conductivity "'"'"~""` 2303.59 * UV280 + 0.918 * Conductivity - 0.422 * UV,80 *
Conductivity Multiple R = 0.923 This is presented in Figure 15 showing the components of the TDS equation broken down into the UV contribution, signifying the organic portion of the TDS, and the conductivity contribution, signifying the inorganic portion of the TDS. Figure 15 further shows that there are periods when the TDS are relatively constant but the inorganic and organic portions are diverging.
The product of UV absorbance and conductivity often provides the best single measure of the amount of total dissolved solids. This is seen in Figure 7 presenting a matrix plot showing the relationship between TDS, UV absorbance, conductivity, and the product of UV absorbance and conductivity. The measurements were taken from paper machine white water. The ordinate (y-axis) of each plot shows the relative intensity of the measurement shown in the bar chart to the right of the plot. The abscissa (x-axis) is a measure of the intensity of the measurement shown in the bar chart above the scatter plot.
It is apparent that both conductivity (graph A) and UV absorbance (graph B) provide only a rough measure of the total amount of dissolved solids. Furthermore, the correlation between conductivity and UV absorbance (graph D) is poor. However. the combined SUBSTITUTE SHEET (RULE 26) measurement of UV absorbance and conductivity and using the product of both measurements, UV*conductivity, shows a very good correlation to the TDS and hence provides the best indirect measurement of the total amount of dissolved solids (graph C).
The product of UV absorbance and conductivity extenuates extremes in variation of TDS
better than a sum weighted by multiple regression coefficients. The ratio of UV
absorbance to conductivity provides a good measure of the relative change in the composition of dissolved organic and inorganic components. For example, in an instance where the ionic strength increases significantly, or when one or more (high valent) 1.0 cations, such as Ca2+, Mg2+, A13+, and Fe2+, increases significantly, it is expected that dissolved and colloidal substances will be destabilized, i.e. they precipitate. At pH 5.0 model dispersions of spruce pitch are destabilized at 0.1 M NaCI and 0.001 to 0.01 M
CaC12. The DLVO (Derjaguin, Landau, Verwey, and Overbeek) theoretical description of these effects is often used as a model that interprets charged particle interaction in terms of screening of charge-charge interactions by high ionic strength.
Counter-ion condensation, or strong binding of a layer of usually high valent cations on negatively charged colloids and macromolecules leads to charge-neutralization that destabilizes dissolved and colloidal substance dispersions. In the event of such a destabilization the turbidity will first increase due to coagulation of small charged particles or aggregation and agglomeration of dissolved and colloidal substances with inorganic cations or polymeric cations. At a critical concentration the particle size will require precipitation and fixation of colloidal components.
Now turning to Figure 8, it is clear that the measures of UV absorbance and conductivity are not independent. The measurements are sometimes, but not always covariant and the components of the dissolved matter which are measured by UV absorbance and conductivity interact with each other in solution or on surfaces. Figure 8 presents mill data from the dissolved solids analyzer showing conductivity and UV
components. In this case there is significant covariance. Under these circumstances one measurement cannot substitute for the other because of the deviation from covariance. The deviation from covariance appears on August 15 when furnish rich in UV absorbing components was introduced. The deviation on August 18 is due to the more rapid response of the SUBSTITUTE SHEET (RULE 26) water system to removing UV absorbing components compared to conductive components. Both chemical and statistical arguments provide important insight into why the combined use of the two measurements is more effective in prediction of properties of a process water. From a chemical point of view, some of the UV absorbing components contribute to the conductivity. The positive covariance between conductivity and UV
absorbance is a measure of the trend for one measurement to increase the other.
Figure 8a shows a plot of the product (UV absorbance*conductivity) and the ratio (conductivity/UV) as a function of time. The results were obtained on-line with the Total Dissolved Solids Analyzer measuring paper machine white water. The plot clearly shows that the product UV*conductivity provides the best single measurement of overall change in the amount of dissolved solids as described above. Furthermore, the plot also shows that the ratio of conductivity/UV provides a measure of the relative mixture of dissolved inorganic components.
Known components that will contribute to both UV and conductivity include resin acids, such as dehydroabietic acid, phenolic components such as gallic acid and acid lignin-carbohydrates complexes containing glucuronoxylan or arabinoglucuronoxylan.
Other acidic, UV-absorbing lignin or carbohydrate derived components may be fonmed during an oxidative chemical process such as peroxide bleaching. During alkaline pulping and bleaching the peeling reaction results in the formation of saccharinic acid moieties on carbohydrate components.
Furthermore, some of the UV absorbing components also interact, associate or chelate the cations from the solution thus decreasing the availability of free ions to contribute to conductivity. From a statistical point of view, in any multi-factor analysis of variance, factors A and B interact if the effect of factor A is not independent of the level of factor B. The model z' = A x x + B x y + C x x x y, where z' is the predicted dependent variable (dissolved solids) and x and y are dependent variables. The beta values for coefficients A, B and C provide a measure of the relative importance of the individual terms x and y and the interaction term xy. For example, when a sample TDS is regressed against the conductivity and UV absorbance the following results are obtained:
SUBSTITUTE SHEET (RULE 26) Stepwise Forward Multiple Regression: Summary for Dependent Variable: TDS
R= .99897481 R2= .99795066 Adjusted R2= .99767121 F(3,22)=3571.1 p<.00000 Std.Error of estimate: 74.838 BETA St. Err.of B St. Err. of t(22) p-level BETA B
UV absorbance .785572 .091505 2921.407 340.2923 8.58499 .000000 (280 nm) Conductivity .746419 .131612 1.214 .2141 5.67134 .000011 S cm'' Interaction Term -.534150 .116628 -2.063 .4504 -4.57994 .000146 UV*conductivity In these results, the absolute value of the BETA term provides a measure of the relative importance of each term. Note that in this water sample the UV and the conductivity contribute comparably to the TDS. The interaction term shows that the interaction between the two is nearly as important, but of an opposite sense as either one of the single terms. The negative interaction term is also consistent with a chemical interaction of inorganic and organic components that occurs at high concentrations and leads to chelation, agglomeration and precipitation.
The interaction between different components in the white water may be measured using the product of UV absorbance and conductivity. When multiple regression is used to fit the TDS to a UV absorbance and conductivity measurement the Beta value obtained for the UV*conductivity product provides an expression for the interaction of the different components. The more negative the Beta value is, the more likely it is that mixing variation of one of the components will result in scaling, deposits or precipitation.
The UV absorbance provides a direct measure of lignin and a representative measure of extractives and carbohydrate components dissolved in process waters. UV
absorbance is a well-known measure of the amount of lignin present. However, lignin and most lignan extractive structures have a shoulder at 280 nm that is relatively invariant with ionization of phenolic hydroxyl constituents. The extinction coefficient at 280 nm for lignin from TMP has been determined to be 17.8 L g'I cm". Thus the UV absorbance correlates well with the TDS at different places in the paper machine even while the overall composition SUBSTITUTE SHEET (RULE 26) varies. UV absorbing dehydroabetic acid is a dominate resin acid extractive liberated from spruce wood during mechanical pulping. The relative portions of different wood extractives liberated from pulp do not vary substantially with variations in the total organic carbon (TOC) caused by recirculation of the process water.
Substantial_swings in pH do change the relative portions of different extractives and for this reason the calibration between UV and TOC must be location specific in a paper mill. UV
lignin measurements correlate well with the biological oxygen demand (BOD) and the chemical oxygen demand (COD) from thermomechanical pulp wood material. It is now generally accepted that unpurified hemicellulose components are directly attached to lignin moieties. Hence the UV absorbance of the components attached to lignin provides a measure of the hemicellulose components. Thus the UV absorbance correlates well with the TDS at different places in the paper machine even while the overall composition varies.
Substances contributing to either UV absorbance and conductivity are known to be detrimental to papermaking. The overall build-up of dissolved solids can interfere with paper machine operations. Salts and electrolytes screen electrostatic interactions and reduce the effectiveness of cationic polymers. Also, anionic organic substances are known to lead to deposits, and reduce the paper machine runability.
The combination of anionic trash (hemicellulose, resin acids, fatty acids) as determined by UV absorbance and electrolytes as measured by conductivity are required to optimize the efficiency of cationic polymers added for fixation and retention. Turning to Figure 9, a graph is presented showing that the ratio of the UV absorbance to the conductivity measurements correlates well with the turbidity measurement. Figure 10 presents a scatterplot of turbidity and the ratio of the UV absorbance to the conductivity measurements over a period of approximately 2 months. This scatterplot shows clearly that the ratio of the UV absorbance to the conductivity trends well with the turbidity measurements. The relationship between the ratio of dissolved substances and the turbidity caused by colloidal particles is an indirect manifestation of the shift in the dissolved-colloidal equilibria caused by an increase in the amount of dissolved organic material contributing to colloids and a decrease in the amount of electrolytes in the water SUBSTITUTE SHEET (RULE 26) that may destabilize the colloidal substances. Turbidity has been used in the past as a means for controlling the addition of cationic fixing aids and flocculants.
TOC (total organic carbon) has been used as a means to control the addition of cationic polymer and as indicated above the UV absorbance provides a representative measure of the TOC.
Incremental changes in the UV absorbance of dissolved solids which coincide with the variation of a cationic polymer dose provide a good measure of the interference of dissolved anionic substances to the flocculation or fixing action of an added cationic polymer. This is showr- in Figures 11 and 12 which show results from laboratory studies and mill trials relating the variation of the UV absorbing dissolved substances to the addition of cationic polymer. Figure l 1 shows a plot of UV absorbance of centrifuged and filtered TMP white water in dependence upon the amount of cationic polymer. This graph shows clearly the effect of added cationic polymer on the measured amount of colloids and dissolved substances. Laboratory results, as presented in Figure 11, show that dissolved matter is removed upon the addition of cationic polymer which is used as a retention aid or fixing agent. The removal of dissolved matter is indicated by a decrease in the measured values of UV absorbance. The results are compared to the variation of colloidal substances with the addition of cationic polymer. The colloidal components are not removed until a portion of the UV-absorbing dissolved matter reacts with the polymer. Figure 12 presents a plot of the variation of UV absorbance as a function of added cationic polymer. The results shown in Figure 12 represent mill trial results upon polymer addition at a medium consistency pump. The mill trial clearly shows the removal of dissolved material as measured by UV absorbance upon the addition of cationic polymer used as a retention aid or fixing agent. The results are compared to the variation of colloidal substances with the addition of cationic polymer. The dissolved matter reacts with the cationic polymer in the TMP white water but not in the case of the gray water for recycled newsprint that has low concentrations of dissolved, wood-derived organic material. The results of the trial presented in Figure 12 points out the advantages of using measurements of both dissolved and colloidal substances to control the addition of cationic polymer as a fixing agent.
SUBSTITUTE SHEET (RULE 26) The UV absorbance of white water components shows a good correlation with the dissolved solids and hence UV measurements indicate the effects of changes in the pH of a liquid sample.
The amount of dissolved solids is affected by altering the pH of the liquid sample, i.e. if the pH is lowered organic dissolved solids are precipitated and if the pH is increased the inorganic dissolved solids are precipitated. In application such as washing and pressing the UV absorbance provides and excellent measure of the effectiveness of the removal of potentially soluble substances. This is shown in Figure 12a presenting a plot of UV28o absorbance vs. pH for results obtained from a twin wire press.
The dissolved solids analyzer in agreement with the invention provides a measure of the overall change of dissolved solids in pulp or paper mill process waters or effluents.
The analysis of different process steams provides a means to control both the overall level of dissolved solids using the product of the UV absorbance measurement and the conductivity measurement and the relative composition of the dissolved solids. The dissolved solids analyzer is used in various areas in pulp and paper processing, such as controlling dissolved solids in counter-current flow processes, controlling dissolved solids in pulp washing operations, reducing deposition and scaling, controlling dissolved solids in papermaking operations.
Referring now to Figure 13 a detailed diagram is presented showing potential points for application of the Dissolved Solids Analyzer (7, 7', 8', 10) in an integrated pulp and paper mill. In this figure, pulp flows are shown in dash lines, water flows are shown in solid thin lines, and sampling and analysis flows for the Dissolved Solids Analyzer are shown in thick solid lines.
Dissolved solids are generated in pulp mills from pulping, bleaching, addition of process chemicals and washing. The dissolved solids in paper machine white water are controlled in order to maintain a constant level of dissolved solids. Dissolved solids enrichment in pulp mills occurs during processes 11-20 in the Thermomechanical Pulp (TMP) mill and 28-34 in the deinking mill. All purging is done in the pulp mills. Water and pulp storage areas including 3, 21, 6 and 35 are expected to be substantially neutral to dissolved solids composition. Pulp is ultimately delivered to headbox 24 and paper machine 25 processes for paper manufacturing. Valve 43 from chip washers 11, impregnators (12) and chip heaters (not shown) are always open. Valve 47 from the Twin Wire Press (TWP), valve (46) from flotation (30), and valve 45 from clarifier 37 are always open. Valves 42 and 44 are open proportionally to respective pulp production rates and are supervisory controlled by Dissolved Solids Analyzers 7 and 7'. All fresh water is introduced in the paper mill. The valve 39 between fresh water 1 to Paper Mill (PM) showers 27 is always open. Valve 38 (fresh water to PM white water 6) is used to provide feedback control to maintain a set-point for the dissolved solids. The flow rates through valves 42 and 40 are determined by water levels in tanks 4 and 5. The Dissolved Solids Analyzers 8 and 8' are used to measure a variation of dissolved solids across discrete chemical treatment processes 20 (hydrosulfite bleaching) and 22 (cationic polymer addition), or 34 (hydrosulfite bleach) and 36 (cationic polymer addition).
Figure 14 shows an example for an application of the Dissolved Solids Analyzer. A block diagram is presented showing elements of measurement and the control of dissolved solids in an integrated newsprint mill. Measurements of dissolved solids in the paper mill and pulp mill provide information to maintain the concentration and the composition of dissolved solids by varying the amount of fresh water and the relative counter-current flow to each pulp mill. In this figure, the pulp slurry flow is shown in dashed lines and the white water flow is shown in solid lines. The TDS Analyzer 200 as shown in Figure 14 is used to determine the amount of dissolved solids in a pulp slurry flow from a Groundwood Pulp Mill 210, a Thermomechanical Pulp Mill 220, and a Recycled Pulp Mill 230. Further, the TDS analyzer is used to determine the amount of dissolved solids in a white water flow coming from a paper machine 250 to a White Water Silo 240. The Thermomechanical Pulp Mill is mostly a source of organic dissolved solids and the Recycled Pulp Mill is mostly a source of inorganic dissolved solids. An analysis of different process streams provides a means for controlling both, the overall level of dissolved solids using the product of the LN absorbance measurements and the conductivity as well as the relative composition of the dissolved solids.
of the cross-flow type or tangential-flow type with the flow across the membrane being 20-100 times the flow through the membrane. Furthermore, the filter should be regularly backed-pulsed with the filtrate to ensure minimal accumulation of suspended solids on the filter surface. Filtering through a filter cake leads to unreliable ultraviolet (UV) measurements of a pulp or paper mill process water because an accumulating filter cake consisting of pulp fiber, fines and colloids will result in the selective removal of some dissolved substances. Filters which utilize the cross-flow principle to minimize filter cake formation are for example tubular membrane filters by KochTM Membrane Systems, Inc. and sintered metal filters by MottTM Industries. However, the liquid samples may also be manually introduced into the system through a sample port.
After the liquid sample is filtered in the filtration unit 100 it is directed to the sample manager 120. The sample manager consists of a valve 121 for delivering the filtered liquid sample to the UV detection unit 140 and the conductivity unit 160, a valve 126 for delivering fresh water from the fresh water reservoir 124 to the UV detection unit 140 and the conductivity unit 160, a valve 130 for delivering a cleaning fluid from the cleaning fluid reservoir 128 to the UV detection unit 140 and the conductivity unit 160, a pump 122 for delivering the liquid sample, the fresh water or the cleaning fluid from the sample manager 120 to the UV detection unit 140 and the conductivity unit 160, and a pressure sensor 132. Valves 121, 126, 130, and the pressure sensor 132 are in communication with a logic controller 180. The pressure sensor 132 provides feedback to the logic controller 180 for controlling a cleaning cycle.
The pump 122 delivers the liquid sample to the UV detection unit 140. In the UV
detection unit 140, the liquid sample is passed through a flow-through cell 142. This flow-through cell 142 is irradiated with UV light provided by a UV light source 144 located on one side of the flow-through cell 142. A light detector 146, located on another side of the flow-through cell 142, measures the absorbance of UV light as it traverses the liquid sample. The light detector 146 is connected to a wavelength selector 148 and the logic controller 180. The raw data of UV light absorbance by the liquid sample is passed from the light detector 146 to the logic controller 180 for further data processing. In a AMENDED SHEET
preferred embodiment a variable wavelength UV-visible spectrophotometer is used, such as a ShimadzuTM UV-visible HPLC detector set, or a D-starTM DFW-20/21 detector. The UV detector may be purchased as an assembled unit or manufactured within an integrated dissolved solids detection system. Many single (fixed) wavelength or selectable wavelength UV-visible spectrophotometers are commercially available. However, the most important components of the UV detection unit 140 are:
i) the light detector 146, such as a silicon photovoltaic detector (SiemensTM) or a photomultiplier;
ii) the wavelength selector 148, such as a monochromator or a 280 run interference filter for 280 nm (OrielTM, Edmond ScientificTM);
iii) the UV light source 144, such as a deuterium lamp or a xenon arc light source, examples include McPhersonTM, EGGTM, Ocean OpticsTM, ILCTM;
iv) the flow-through cell 142, such as a 1 mm quartz or SuprasilTM flow-through cell (HelmaTM, 170.000) The UV detection unit is in its preferred embodiment temperature controlled with high quality power supplies for the UV light source and the light detector.
The preferred wavelength for measuring the UV absorbance is 280 ( 2) nm.
However, a wavelength range between 205-380 nm produces suitable results.
After passing through the UV detection unit 140 the liquid sample is delivered to the conductivity unit 160. This conductivity unit 160 consists of a conductivity probe 162 and a conductivity analyzer 164. The conductivity probe 162 is a flow-through contact probe with a cell constant of 1. The specifications for the conductivity analyzer 164 are as follows:
Ranges: Conductivity (switchable) 0 to 19.99 mS/cm 0 to 1999.9 S/cm 0 to 199.9 S/cm Temperature range 0 to 100 C
Resolution: Conductivity 1 S/cm Temperature 0.1 C
Accuracy: Conductivity +1-0.5%
Temperature 0.5 C
Temperature compensation 0 to 100 C
AMENDED SHEET
Excitation frequency 1 kHz Reference temperature 0 to 100 C
Cell constant 0.2 (programmable) Examples of suitable conductivity analyzers that can be used in the apparatus shown in Figure 1 are GLI Model C33TM, the ICTM Controls conductivity analyzer, the HoneywellT"" 9782 Analyzer, and the HachTM Mode1471 conductivity analyzer. The conductivity unit 160 is connected to the logic controller 180 and the raw data obtained from conductivity measurements of the liquid sample are delivered from the conductivity analyzer 164 to the logic controller 180 for further data processing.
Conductivity, also called specific conductance (K), is the conductance compensated for the area of the electrodes A and the distance between the electrodes 1. These constants that are related to the measurement process rather than the intrinsic property of the medium are often lumped together as a cell constant A
Specific conductance measurement for pulp and paper process waters often will average around 1000 S cm"1, and may range between 400 - 40000 S cm"t. The cell constant for paper machine white water should be between 1.0 and 10Ø The conductance may be written as G = x~=~ or the conductivity may be written as K=~
The proper units for conductivity are S cm". Conductivity measurements are typically made using an AC current cycling between 60-1000 Hz with plantinized platinum electrodes and a modified Wheatstone bridge. Non-contact, toroidal conductivity probes are sometimes used to avoid electrode fouling under heavy fouling conditions.
Conductivity is temperature sensitive and measurements are normally temperature compensated.
Alternatively, if desired, the conductivity unit is placed between the sample manifold 98 and the filtration unit 100 as the conductivity measurement is not influenced by the filtration process.
AAIENDED SHEET
The logic controller 180 is a programmable unit which drives the components of the apparatus presented in Figure 1 in a predetermined sequence. This logic controller 180 provides six 24 V DC outputs for controlling the valves 96a-f, 121, 126, 130 and the pump 122 as well as six analog inputs/outputs for the light detector 146, the pressure sensor 132 and the conductivity analyzer 164. An example for a possible logic controller to be used in the invention is the Allen BradleyTM 5/03 PLC. A smaller logic controller, such as the Allen Bradley MicrologixTM 1000 also fulfills the requirements for the logic controller 180. However, the system logic and the data acquisition system could be custom designed and manufactured.
In one embodiment the raw data obtained from the light detector 146 and the conductivity analyzer 164 are directly delivered to a FoxboroT'" Distributed Control System (D.C.S.).
There they can be accessed through the Aspen Technologies'T"' Process Management Information System (PMIS) using a Process ExplorerTM software.
After a liquid sample has been passed through the apparatus shown in Figure 1 for determining the amount of dissolved solids in the liquid sample it is advantageous to perform a cleaning cycle. The logic controller 180 is opening/closing valve 126 for flushing the apparatus with fresh water, valve 130 for flushing the apparatus with a cleaning fluid and valve 121 for preventing the liquid sample from being delivered to the UV detection unit 140 and the conductivity unit 160 when a cleaning cycle is performed.
The pressure sensor 132 provides the feedback to the logic controller 180 for controlling the cleaning cycle, i.e. it provides the logic controller with the information which valves are to be opened/closed. Pump 122 delivers the fresh water or the cleaning fluid to the UV detection unit 140 and the conductivity unit 160.
In the specification the determination of dissolved matter can be expressed as either an exact quantity of measured/computed (via a UV and conductivity product) of dissolved matter or alternatively the relative quantity can be expressed in form of a UV
conductivity ratio.
AMENDED SHEET
In accordance with the invention the total amount of dissolved solids (TDS) in the liquid sample is determined from a mathematical relationship combining the UV
absorbance and the conductivity measurements of the liquid sample. There is an excellent correlation between the total amount of dissolved solids (TDS) and a combination of conductivity and UV measurements. Several mathematical relationships appear to give good results for accurately predicting the TDS from a UV and conductivity measurement. The empirical relationship is set and may be updated by multilinear correlation of the UV
absorbance and conductivity with measured TDS. Typically, one of the following mathematical relationships for white water filtered at 0.45 microns is used:
Paper Machine 5 White water TDS = 851.97 + 2.03 7* Conductivity* UV2.0 Multi lp e R= 0.887 Paper Machine 5 White water TDS = 2303.59*UV2E0+ 0.918*Conductivity + -0.422* UV280* Conductivity The relationship between TDS and UV absorbance and conductivity is relatively constant over extended periods in the paper mill. Using the data from paper machine 3white water (3ww), paper machine 4 white water (4ww), and paper machine 5 white water (5ww) for the period between April 9-28, 1996 the following relations are obtained:
For 3ww, 4ww, 5ww coznbined TDSpred= 788.79+0.19899*UVa,O*Conductivity R=0.9028 TDSP,,=177.77+0.5398*Conductivity+266.09*UVZ,, R=0.9033 For 3ww TDSaed= 810+0.1855*UVz,,*Conductivity R=0.865 TDSpma 259+0.5301*Conductivity+191.55*UVZ90 R=0.865 For 4ww TDSpma 774+0.203 3 5*UV,90* Conductivity R=0.930 TDS~a 109.25+0.5161 *Conductivity+259.62*UV_$a R=0.9563 For 5ww TDSpma 788.8+0.1814*UV,80*Conductivity R=0.857 TDSp.d 547+0.59508*Conductivity+94.66*UVZ90 R=0.844 SUBSTITUTE SHEET (RULE 26) This is presented in Figure 2 showing a scatterplot of the amount of total dissolved solids versus the product of UV absorbance and conductivity. Figure 3 shows a scatterplot presenting normalized data, i.e. divided by the average, from the dissolved solids analyzer showing relative conductivity, UV measurements, the product of UV
*conductivity, and the ratio UV/conductivity. The product of UV*conductivity (UVCONDNO) shows the greatest relative variation and thereby provides a more comprehensive measure of accumulation of dissolved matter as compared to the individual UV and conductivity measurements. The ratio of the UV and conductivity measurements may deviate from its normal value when the relative contribution of the inorganic and organic components is shifted. Figure 3 shows the gradual accumulation of dissolved components over a period of time.
Figures 4-6 show three dimensional plots demonstrating the variation of TDS as a function of UV and conductivity. The variation in UV absorbance is greatest in the Thermomechanical pulp (TMP) line as shown in Figure 5 and the variation in conductivity is greatest in the de-inked pulp line as shown in Figure 4. The dominate contributions to the TDS are wood extractives and hemicellulose components from TMP
and dissolved inorganic fillers and process chemicals from the de-inked pulp.
Although these graphs look substantially different for the different testing zone the principle variation is in the amount of variation of the UV or conductivity measurement.
The multiple regression of TDS against conductivity, UV and the interaction between the two (conductivity* UV) is similar but with some variation of the weighting of the conductivity and UV as a function of sampling zone.
Regression models for UV, conductivity, TDS data shown in Figures 4-6. At each sensor location the relationship between the TDS and the measured conductivity and UV
absorbance of the filtered liquid samples has to be established and periodically tested.
Several possible multiple regression models are shown for the different furnish over a three month period at the Avenor-Thunder Bay integrated pulp and paper mill. A
comparison of the different models at the various locations provides some indication of how robust each of the models will be to variation in the furnish composition.
Model A, SUBSTITUTE SHEET (RULE 26) with an intercept and linear coefficients on cach variable is poor because of the variability in the intercept. Model B is reasonable and correct. Model C accounts for the interaction between the conductivity and UV variables. This interaction, quite high for the deinked pulp can be important from a control point of view in that it indicates that when both conductivity and UV increase there will be deposition of the dissolved substances. An important aim of a control strategy is to minimize the interaction of the various dissolved components. Model D is a simple one parameter model based on the product of the UV
absorbance and conductivity. This model is probably the most robust model over time because it only involves one coefficient. In some instances, it is a benefit in having a simple model.
Head Box A. TDS = 258 + 0.729*conductivity + 1718*UV280 B. TDS = 0.921 *conductivity + 1905* UV280 C. TDS = 1.010*conductivity + 2347*UV280 - 0.675*UV280*conductivity D. TDS = 943 + 1.808 * UV280* conductivity Thermomechanical Pulp A. TDS = 426.8 + 0.792*conductivity + 1505*UV280 B. TDS = 0.947*conductivity + 1906*UV280 C. TDS = 1.194*conductivity + 2219*UV280 - 0.663*UV280*conductivity D. TDS = 1318.8 + 1.322*UV280*conductivity Deinked Pulp A. TDS = 777 + 0.6576*conductivity + 362.8*UV280 B. TDS = 1. 03 6* conductivity + 11309* UV2B0 C. TDS = 1.238*conductivity + 3357* UV280 - 2.262*UV280*conductivity D. TDS = 1370 + 1.05*UV280*conductivity Fractions of inorganic and organic dissolved solids can be determined.
Inorganic dissolved solids contribute mainly to the conductivity and organic dissolved solids contribute mainly to the UV absorbance. Using the coefficients of the TDS
equation the portion of TDS that is derived from the conductivity (inorganic) or the UV
absorbance SUBSTITUTE SHEET (RULE 26) (organic) may be derived. This provides a good relative measure of the portions of inorganic and organic components that contribute to the total amount of dissolved solids.
The amount of organic dissolved solids is determined from their contribution to the UV
term to the predicted dissolved solids terms. Thus for the above equation:
2303.59 * UV280 TDSu,~,,,,~ = 2303.59 * UV280 + 0.918 * Conductivity - 0.422 * UV280 *
Conductivity The amount of inorganic dissolved solids is determined from their contribution to the conductivity term to the predicted dissolved solids term. Thus for the above equation:
TDS = 0.918 * Conductivity "'"'"~""` 2303.59 * UV280 + 0.918 * Conductivity - 0.422 * UV,80 *
Conductivity Multiple R = 0.923 This is presented in Figure 15 showing the components of the TDS equation broken down into the UV contribution, signifying the organic portion of the TDS, and the conductivity contribution, signifying the inorganic portion of the TDS. Figure 15 further shows that there are periods when the TDS are relatively constant but the inorganic and organic portions are diverging.
The product of UV absorbance and conductivity often provides the best single measure of the amount of total dissolved solids. This is seen in Figure 7 presenting a matrix plot showing the relationship between TDS, UV absorbance, conductivity, and the product of UV absorbance and conductivity. The measurements were taken from paper machine white water. The ordinate (y-axis) of each plot shows the relative intensity of the measurement shown in the bar chart to the right of the plot. The abscissa (x-axis) is a measure of the intensity of the measurement shown in the bar chart above the scatter plot.
It is apparent that both conductivity (graph A) and UV absorbance (graph B) provide only a rough measure of the total amount of dissolved solids. Furthermore, the correlation between conductivity and UV absorbance (graph D) is poor. However. the combined SUBSTITUTE SHEET (RULE 26) measurement of UV absorbance and conductivity and using the product of both measurements, UV*conductivity, shows a very good correlation to the TDS and hence provides the best indirect measurement of the total amount of dissolved solids (graph C).
The product of UV absorbance and conductivity extenuates extremes in variation of TDS
better than a sum weighted by multiple regression coefficients. The ratio of UV
absorbance to conductivity provides a good measure of the relative change in the composition of dissolved organic and inorganic components. For example, in an instance where the ionic strength increases significantly, or when one or more (high valent) 1.0 cations, such as Ca2+, Mg2+, A13+, and Fe2+, increases significantly, it is expected that dissolved and colloidal substances will be destabilized, i.e. they precipitate. At pH 5.0 model dispersions of spruce pitch are destabilized at 0.1 M NaCI and 0.001 to 0.01 M
CaC12. The DLVO (Derjaguin, Landau, Verwey, and Overbeek) theoretical description of these effects is often used as a model that interprets charged particle interaction in terms of screening of charge-charge interactions by high ionic strength.
Counter-ion condensation, or strong binding of a layer of usually high valent cations on negatively charged colloids and macromolecules leads to charge-neutralization that destabilizes dissolved and colloidal substance dispersions. In the event of such a destabilization the turbidity will first increase due to coagulation of small charged particles or aggregation and agglomeration of dissolved and colloidal substances with inorganic cations or polymeric cations. At a critical concentration the particle size will require precipitation and fixation of colloidal components.
Now turning to Figure 8, it is clear that the measures of UV absorbance and conductivity are not independent. The measurements are sometimes, but not always covariant and the components of the dissolved matter which are measured by UV absorbance and conductivity interact with each other in solution or on surfaces. Figure 8 presents mill data from the dissolved solids analyzer showing conductivity and UV
components. In this case there is significant covariance. Under these circumstances one measurement cannot substitute for the other because of the deviation from covariance. The deviation from covariance appears on August 15 when furnish rich in UV absorbing components was introduced. The deviation on August 18 is due to the more rapid response of the SUBSTITUTE SHEET (RULE 26) water system to removing UV absorbing components compared to conductive components. Both chemical and statistical arguments provide important insight into why the combined use of the two measurements is more effective in prediction of properties of a process water. From a chemical point of view, some of the UV absorbing components contribute to the conductivity. The positive covariance between conductivity and UV
absorbance is a measure of the trend for one measurement to increase the other.
Figure 8a shows a plot of the product (UV absorbance*conductivity) and the ratio (conductivity/UV) as a function of time. The results were obtained on-line with the Total Dissolved Solids Analyzer measuring paper machine white water. The plot clearly shows that the product UV*conductivity provides the best single measurement of overall change in the amount of dissolved solids as described above. Furthermore, the plot also shows that the ratio of conductivity/UV provides a measure of the relative mixture of dissolved inorganic components.
Known components that will contribute to both UV and conductivity include resin acids, such as dehydroabietic acid, phenolic components such as gallic acid and acid lignin-carbohydrates complexes containing glucuronoxylan or arabinoglucuronoxylan.
Other acidic, UV-absorbing lignin or carbohydrate derived components may be fonmed during an oxidative chemical process such as peroxide bleaching. During alkaline pulping and bleaching the peeling reaction results in the formation of saccharinic acid moieties on carbohydrate components.
Furthermore, some of the UV absorbing components also interact, associate or chelate the cations from the solution thus decreasing the availability of free ions to contribute to conductivity. From a statistical point of view, in any multi-factor analysis of variance, factors A and B interact if the effect of factor A is not independent of the level of factor B. The model z' = A x x + B x y + C x x x y, where z' is the predicted dependent variable (dissolved solids) and x and y are dependent variables. The beta values for coefficients A, B and C provide a measure of the relative importance of the individual terms x and y and the interaction term xy. For example, when a sample TDS is regressed against the conductivity and UV absorbance the following results are obtained:
SUBSTITUTE SHEET (RULE 26) Stepwise Forward Multiple Regression: Summary for Dependent Variable: TDS
R= .99897481 R2= .99795066 Adjusted R2= .99767121 F(3,22)=3571.1 p<.00000 Std.Error of estimate: 74.838 BETA St. Err.of B St. Err. of t(22) p-level BETA B
UV absorbance .785572 .091505 2921.407 340.2923 8.58499 .000000 (280 nm) Conductivity .746419 .131612 1.214 .2141 5.67134 .000011 S cm'' Interaction Term -.534150 .116628 -2.063 .4504 -4.57994 .000146 UV*conductivity In these results, the absolute value of the BETA term provides a measure of the relative importance of each term. Note that in this water sample the UV and the conductivity contribute comparably to the TDS. The interaction term shows that the interaction between the two is nearly as important, but of an opposite sense as either one of the single terms. The negative interaction term is also consistent with a chemical interaction of inorganic and organic components that occurs at high concentrations and leads to chelation, agglomeration and precipitation.
The interaction between different components in the white water may be measured using the product of UV absorbance and conductivity. When multiple regression is used to fit the TDS to a UV absorbance and conductivity measurement the Beta value obtained for the UV*conductivity product provides an expression for the interaction of the different components. The more negative the Beta value is, the more likely it is that mixing variation of one of the components will result in scaling, deposits or precipitation.
The UV absorbance provides a direct measure of lignin and a representative measure of extractives and carbohydrate components dissolved in process waters. UV
absorbance is a well-known measure of the amount of lignin present. However, lignin and most lignan extractive structures have a shoulder at 280 nm that is relatively invariant with ionization of phenolic hydroxyl constituents. The extinction coefficient at 280 nm for lignin from TMP has been determined to be 17.8 L g'I cm". Thus the UV absorbance correlates well with the TDS at different places in the paper machine even while the overall composition SUBSTITUTE SHEET (RULE 26) varies. UV absorbing dehydroabetic acid is a dominate resin acid extractive liberated from spruce wood during mechanical pulping. The relative portions of different wood extractives liberated from pulp do not vary substantially with variations in the total organic carbon (TOC) caused by recirculation of the process water.
Substantial_swings in pH do change the relative portions of different extractives and for this reason the calibration between UV and TOC must be location specific in a paper mill. UV
lignin measurements correlate well with the biological oxygen demand (BOD) and the chemical oxygen demand (COD) from thermomechanical pulp wood material. It is now generally accepted that unpurified hemicellulose components are directly attached to lignin moieties. Hence the UV absorbance of the components attached to lignin provides a measure of the hemicellulose components. Thus the UV absorbance correlates well with the TDS at different places in the paper machine even while the overall composition varies.
Substances contributing to either UV absorbance and conductivity are known to be detrimental to papermaking. The overall build-up of dissolved solids can interfere with paper machine operations. Salts and electrolytes screen electrostatic interactions and reduce the effectiveness of cationic polymers. Also, anionic organic substances are known to lead to deposits, and reduce the paper machine runability.
The combination of anionic trash (hemicellulose, resin acids, fatty acids) as determined by UV absorbance and electrolytes as measured by conductivity are required to optimize the efficiency of cationic polymers added for fixation and retention. Turning to Figure 9, a graph is presented showing that the ratio of the UV absorbance to the conductivity measurements correlates well with the turbidity measurement. Figure 10 presents a scatterplot of turbidity and the ratio of the UV absorbance to the conductivity measurements over a period of approximately 2 months. This scatterplot shows clearly that the ratio of the UV absorbance to the conductivity trends well with the turbidity measurements. The relationship between the ratio of dissolved substances and the turbidity caused by colloidal particles is an indirect manifestation of the shift in the dissolved-colloidal equilibria caused by an increase in the amount of dissolved organic material contributing to colloids and a decrease in the amount of electrolytes in the water SUBSTITUTE SHEET (RULE 26) that may destabilize the colloidal substances. Turbidity has been used in the past as a means for controlling the addition of cationic fixing aids and flocculants.
TOC (total organic carbon) has been used as a means to control the addition of cationic polymer and as indicated above the UV absorbance provides a representative measure of the TOC.
Incremental changes in the UV absorbance of dissolved solids which coincide with the variation of a cationic polymer dose provide a good measure of the interference of dissolved anionic substances to the flocculation or fixing action of an added cationic polymer. This is showr- in Figures 11 and 12 which show results from laboratory studies and mill trials relating the variation of the UV absorbing dissolved substances to the addition of cationic polymer. Figure l 1 shows a plot of UV absorbance of centrifuged and filtered TMP white water in dependence upon the amount of cationic polymer. This graph shows clearly the effect of added cationic polymer on the measured amount of colloids and dissolved substances. Laboratory results, as presented in Figure 11, show that dissolved matter is removed upon the addition of cationic polymer which is used as a retention aid or fixing agent. The removal of dissolved matter is indicated by a decrease in the measured values of UV absorbance. The results are compared to the variation of colloidal substances with the addition of cationic polymer. The colloidal components are not removed until a portion of the UV-absorbing dissolved matter reacts with the polymer. Figure 12 presents a plot of the variation of UV absorbance as a function of added cationic polymer. The results shown in Figure 12 represent mill trial results upon polymer addition at a medium consistency pump. The mill trial clearly shows the removal of dissolved material as measured by UV absorbance upon the addition of cationic polymer used as a retention aid or fixing agent. The results are compared to the variation of colloidal substances with the addition of cationic polymer. The dissolved matter reacts with the cationic polymer in the TMP white water but not in the case of the gray water for recycled newsprint that has low concentrations of dissolved, wood-derived organic material. The results of the trial presented in Figure 12 points out the advantages of using measurements of both dissolved and colloidal substances to control the addition of cationic polymer as a fixing agent.
SUBSTITUTE SHEET (RULE 26) The UV absorbance of white water components shows a good correlation with the dissolved solids and hence UV measurements indicate the effects of changes in the pH of a liquid sample.
The amount of dissolved solids is affected by altering the pH of the liquid sample, i.e. if the pH is lowered organic dissolved solids are precipitated and if the pH is increased the inorganic dissolved solids are precipitated. In application such as washing and pressing the UV absorbance provides and excellent measure of the effectiveness of the removal of potentially soluble substances. This is shown in Figure 12a presenting a plot of UV28o absorbance vs. pH for results obtained from a twin wire press.
The dissolved solids analyzer in agreement with the invention provides a measure of the overall change of dissolved solids in pulp or paper mill process waters or effluents.
The analysis of different process steams provides a means to control both the overall level of dissolved solids using the product of the UV absorbance measurement and the conductivity measurement and the relative composition of the dissolved solids. The dissolved solids analyzer is used in various areas in pulp and paper processing, such as controlling dissolved solids in counter-current flow processes, controlling dissolved solids in pulp washing operations, reducing deposition and scaling, controlling dissolved solids in papermaking operations.
Referring now to Figure 13 a detailed diagram is presented showing potential points for application of the Dissolved Solids Analyzer (7, 7', 8', 10) in an integrated pulp and paper mill. In this figure, pulp flows are shown in dash lines, water flows are shown in solid thin lines, and sampling and analysis flows for the Dissolved Solids Analyzer are shown in thick solid lines.
Dissolved solids are generated in pulp mills from pulping, bleaching, addition of process chemicals and washing. The dissolved solids in paper machine white water are controlled in order to maintain a constant level of dissolved solids. Dissolved solids enrichment in pulp mills occurs during processes 11-20 in the Thermomechanical Pulp (TMP) mill and 28-34 in the deinking mill. All purging is done in the pulp mills. Water and pulp storage areas including 3, 21, 6 and 35 are expected to be substantially neutral to dissolved solids composition. Pulp is ultimately delivered to headbox 24 and paper machine 25 processes for paper manufacturing. Valve 43 from chip washers 11, impregnators (12) and chip heaters (not shown) are always open. Valve 47 from the Twin Wire Press (TWP), valve (46) from flotation (30), and valve 45 from clarifier 37 are always open. Valves 42 and 44 are open proportionally to respective pulp production rates and are supervisory controlled by Dissolved Solids Analyzers 7 and 7'. All fresh water is introduced in the paper mill. The valve 39 between fresh water 1 to Paper Mill (PM) showers 27 is always open. Valve 38 (fresh water to PM white water 6) is used to provide feedback control to maintain a set-point for the dissolved solids. The flow rates through valves 42 and 40 are determined by water levels in tanks 4 and 5. The Dissolved Solids Analyzers 8 and 8' are used to measure a variation of dissolved solids across discrete chemical treatment processes 20 (hydrosulfite bleaching) and 22 (cationic polymer addition), or 34 (hydrosulfite bleach) and 36 (cationic polymer addition).
Figure 14 shows an example for an application of the Dissolved Solids Analyzer. A block diagram is presented showing elements of measurement and the control of dissolved solids in an integrated newsprint mill. Measurements of dissolved solids in the paper mill and pulp mill provide information to maintain the concentration and the composition of dissolved solids by varying the amount of fresh water and the relative counter-current flow to each pulp mill. In this figure, the pulp slurry flow is shown in dashed lines and the white water flow is shown in solid lines. The TDS Analyzer 200 as shown in Figure 14 is used to determine the amount of dissolved solids in a pulp slurry flow from a Groundwood Pulp Mill 210, a Thermomechanical Pulp Mill 220, and a Recycled Pulp Mill 230. Further, the TDS analyzer is used to determine the amount of dissolved solids in a white water flow coming from a paper machine 250 to a White Water Silo 240. The Thermomechanical Pulp Mill is mostly a source of organic dissolved solids and the Recycled Pulp Mill is mostly a source of inorganic dissolved solids. An analysis of different process streams provides a means for controlling both, the overall level of dissolved solids using the product of the LN absorbance measurements and the conductivity as well as the relative composition of the dissolved solids.
Claims (22)
1. A method for determining an amount of dissolved matter in a liquid sample comprising the steps of:
(a) irradiating at least a portion of the liquid sample with light of at least a first wavelength within a range of wavelengths in an ultraviolet region, wherein said range of wavelengths is for allowing an absorption measurement of said liquid sample;
(b) measuring an absorption of the first wavelength by the liquid sample;
(c) measuring a conductivity of the liquid sample; and (d) determining the amount of dissolved matter in the liquid sample from a first relationship between the measured absorption of the first wavelength by the liquid sample and the measured conductivity of the liquid sample, said first relationship includes at least one of a product and a ratio of said measured absorbance and conductivity.
(a) irradiating at least a portion of the liquid sample with light of at least a first wavelength within a range of wavelengths in an ultraviolet region, wherein said range of wavelengths is for allowing an absorption measurement of said liquid sample;
(b) measuring an absorption of the first wavelength by the liquid sample;
(c) measuring a conductivity of the liquid sample; and (d) determining the amount of dissolved matter in the liquid sample from a first relationship between the measured absorption of the first wavelength by the liquid sample and the measured conductivity of the liquid sample, said first relationship includes at least one of a product and a ratio of said measured absorbance and conductivity.
2. A method as defined in claim 1 wherein the first relationship is determined by performing regression analysis by utilizing the measured conductivity and absorption.
3. A method as defined in claim 2 wherein the first relationship is a sum including a product of said measured conductivity and absorption.
4. A method as defined in any of claims 1 to 2 wherein the first relationship is described by a following equation:
dissolved matter = A*conductivity + B*ultraviolet absorption +
C*conductivity*ultraviolet absorption wherein A, B, and C are factors determined by regression analysis.
dissolved matter = A*conductivity + B*ultraviolet absorption +
C*conductivity*ultraviolet absorption wherein A, B, and C are factors determined by regression analysis.
5. A method as defined in any of claims 1 to 4, wherein the liquid sample comprises colloidal particles, and further comprising the step of removing an amount of the colloidal particles from the liquid sample for lessening an unwanted effect of an interaction between at least some of the colloidal particles and the irradiating light.
6. A method as defined in any of claims 1 to 5, wherein the range of wavelength in the ultraviolet region is from 205 nm to 380 nm.
7. A method as defined in any of claims 1 to 6, wherein the first wavelength is 280 (~2) nm.
8. A method as defined in claim 3, wherein the amount of dissolved matter includes an amount of dissolved organic matter and an amount of dissolved inorganic matter.
9. A method as defined in claim 8, wherein the amount of dissolved organic matter is determined from a ratio including the absorption of the first wavelength to the first relationship.
10. A method as defined in claim 8, wherein an amount of dissolved inorganic matter is determined from a ratio of the conductivity to the first relationship.
11. A method for controlling an amount of dissolved solids in a process water from pulp and paper processing using one of a counter-current flow process and a discrete chemical treatment process comprising the steps of:
(a) measuring an absorbance of the process water at a first wavelength within a range of wavelength in an ultraviolet region;
(b) measuring the conductivity of the process water; and (c) determining the amount of dissolved solids in the process water from a first relationship in dependence upon the measured absorbance and the measured conductivity, said first relationship includes at least one of a product and a ratio of said measured absorbance and conductivity.
(a) measuring an absorbance of the process water at a first wavelength within a range of wavelength in an ultraviolet region;
(b) measuring the conductivity of the process water; and (c) determining the amount of dissolved solids in the process water from a first relationship in dependence upon the measured absorbance and the measured conductivity, said first relationship includes at least one of a product and a ratio of said measured absorbance and conductivity.
12. A method as defined in claim 11, wherein the process water comprises colloidal particles, and further comprising the step of removing an amount of the colloidal particles from the process water for lessening an unwanted effect of an interaction between at least some of the colloidal particles and the absorbance.
13. A method as defined in claim 11 or claim 12 wherein the first relationship is determined by performing regression analysis by using the measured conductivity and absorbance.
14. A method as defined in claim 13 wherein the first relationship is a sum including a product of said measured conductivity and absorption.
15. A method as defined in claim 13 wherein the first relationship is described by a following equation:
dissolved solids = A*conductivity + B*ultraviolet absorption +
C*conductivity*ultraviolet absorption wherein A, B, and C are factors determined by regression analysis.
dissolved solids = A*conductivity + B*ultraviolet absorption +
C*conductivity*ultraviolet absorption wherein A, B, and C are factors determined by regression analysis.
16. A method as defined in claim 14 wherein the amount of dissolved solids includes an amount of dissolved organic solids and an amount of dissolved inorganic solids.
17. A method as defined in claim 16, wherein the amount of dissolved organic solids is determined from a ratio of the absorption of the first wavelength to the first relationship.
18. A method as defined in claim 16, wherein the amount of dissolved inorganic solids is determined from a ratio including the conductivity to the first relationship.
19. A method as defined in any of claims 11 to 18 wherein the discrete chemical treatment process includes adding cationic polymer to the process water for removing dissolved organic solids therefrom.
20. A method as defined in any of claims 11 to 18 wherein the amount of dissolved solids in the process water is controlled by changing a pH of said process water for one of removing dissolved organic solids and dissolved inorganic solids.
21. A method as defined in any of claims 11 to 20 wherein the range of wavelength is from 205 nm to 380 nm.
22. A method as defined in claim 21 wherein the first wavelength is 280 (~2) nm.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CA002304199A CA2304199C (en) | 1997-09-18 | 1998-09-18 | Dissolved solids analyzer |
Applications Claiming Priority (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CA002216046A CA2216046A1 (en) | 1997-09-18 | 1997-09-18 | In-line sensor for colloidal and dissolved substances |
CA2,216,046 | 1997-09-18 | ||
PCT/CA1998/000874 WO1999014591A1 (en) | 1997-09-18 | 1998-09-18 | Dissolved solids analyzer |
CA002304199A CA2304199C (en) | 1997-09-18 | 1998-09-18 | Dissolved solids analyzer |
Publications (2)
Publication Number | Publication Date |
---|---|
CA2304199A1 CA2304199A1 (en) | 1999-03-25 |
CA2304199C true CA2304199C (en) | 2009-01-06 |
Family
ID=25679621
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CA002304199A Expired - Fee Related CA2304199C (en) | 1997-09-18 | 1998-09-18 | Dissolved solids analyzer |
Country Status (1)
Country | Link |
---|---|
CA (1) | CA2304199C (en) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2019226486A1 (en) * | 2018-05-22 | 2019-11-28 | Buckman Laboratories | Determination of starch in a sample at an industrial facility |
CN113702241B (en) * | 2021-08-26 | 2023-10-20 | 泰安市特种设备检验研究院 | Method for rapidly determining content of dissolved solids in boiler water |
-
1998
- 1998-09-18 CA CA002304199A patent/CA2304199C/en not_active Expired - Fee Related
Also Published As
Publication number | Publication date |
---|---|
CA2304199A1 (en) | 1999-03-25 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US6134952A (en) | Dissolved solid analyzer | |
EP2595716B1 (en) | Method and system for monitoring properties of an aqueous stream | |
US4138313A (en) | Method and apparatus for continuously washing fibrous suspensions and controlling the volume of wash liquid | |
US6023065A (en) | Method and apparatus for monitoring and controlling characteristics of process effluents | |
US6263725B1 (en) | On-line sensor for colloidal substances | |
CA1277809C (en) | Papermaking process | |
CA2304199C (en) | Dissolved solids analyzer | |
AU770180B2 (en) | On-line sensor for colloidal substances | |
WO2010107731A1 (en) | Use of fluorescence to monitor hydrophobic contaminants in a papermaking process | |
CA2304201C (en) | Analyzer for temperature sensitive colloidal mixtures | |
US5900113A (en) | Method of using fluorescent tracers to monitor chlorine dioxide in pulp and paper processes | |
CA3165684A1 (en) | Apparatus for and method of measuring suspension flowing in tube fractionator | |
Belosinschi et al. | PROCESS WATER OF PAPERMAKING: MODEL BUILDING AND CHARACTERIZATION. | |
FI119709B (en) | Procedure for Determining Dissolved and Colloidal Disturbances in a Paper Making Process | |
US6466317B1 (en) | Automatic real time monitoring of true color in waste liquids | |
EP1425466A1 (en) | Method of adjusting pulp washing process and determining efficiency | |
US6841390B1 (en) | Method for sensing stickies | |
Rice et al. | Continuous filtration and titration apparatus for real time monitoring of polyelectrolyte concentration and cationic demand of a paper furnish | |
Durgueil | Process control of chemicals in fibre furnishes | |
Mertanen | Brown stock washing upper level control utilization at hardwood fiberline | |
Thomas | The development of on-line paper machine wet-end analysers | |
Viitanen | Examination of board machine water consumption and its reduction potential | |
KR20220024102A (en) | Estimation of Hazard Levels in Waterborne Processes | |
WO2021253107A1 (en) | Method to treat a condensate in a pulping process | |
Haapala et al. | Optical analysis of ink and other contaminants in process waters |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
EEER | Examination request | ||
MKLA | Lapsed |
Effective date: 20170918 |