CN115575368B - Method for judging adsorption affinity of granular activated carbon to organic pollution components - Google Patents
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- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 169
- 238000001179 sorption measurement Methods 0.000 title claims abstract description 82
- 238000000034 method Methods 0.000 title claims abstract description 28
- 239000002957 persistent organic pollutant Substances 0.000 claims abstract description 58
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 22
- 238000002189 fluorescence spectrum Methods 0.000 claims abstract description 21
- 238000000556 factor analysis Methods 0.000 claims abstract description 16
- 229910021642 ultra pure water Inorganic materials 0.000 claims abstract description 9
- 239000012498 ultrapure water Substances 0.000 claims abstract description 9
- 238000004458 analytical method Methods 0.000 claims abstract description 7
- 238000009835 boiling Methods 0.000 claims abstract description 4
- 238000001035 drying Methods 0.000 claims abstract description 4
- 238000005406 washing Methods 0.000 claims abstract 2
- 239000005416 organic matter Substances 0.000 claims description 18
- 244000060011 Cocos nucifera Species 0.000 claims description 14
- 235000013162 Cocos nucifera Nutrition 0.000 claims description 14
- 244000018633 Prunus armeniaca Species 0.000 claims description 14
- 235000009827 Prunus armeniaca Nutrition 0.000 claims description 14
- 241000195493 Cryptophyta Species 0.000 claims description 12
- 244000144730 Amygdalus persica Species 0.000 claims description 11
- 235000006040 Prunus persica var persica Nutrition 0.000 claims description 11
- 230000005284 excitation Effects 0.000 claims description 11
- 239000000356 contaminant Substances 0.000 claims description 10
- 238000007689 inspection Methods 0.000 claims description 7
- 239000002509 fulvic acid Substances 0.000 claims description 3
- 239000004021 humic acid Substances 0.000 claims description 3
- PUKLDDOGISCFCP-JSQCKWNTSA-N 21-Deoxycortisone Chemical compound C1CC2=CC(=O)CC[C@]2(C)[C@@H]2[C@@H]1[C@@H]1CC[C@@](C(=O)C)(O)[C@@]1(C)CC2=O PUKLDDOGISCFCP-JSQCKWNTSA-N 0.000 claims description 2
- QJZYHAIUNVAGQP-UHFFFAOYSA-N 3-nitrobicyclo[2.2.1]hept-5-ene-2,3-dicarboxylic acid Chemical compound C1C2C=CC1C(C(=O)O)C2(C(O)=O)[N+]([O-])=O QJZYHAIUNVAGQP-UHFFFAOYSA-N 0.000 claims description 2
- FCYKAQOGGFGCMD-UHFFFAOYSA-N Fulvic acid Natural products O1C2=CC(O)=C(O)C(C(O)=O)=C2C(=O)C2=C1CC(C)(O)OC2 FCYKAQOGGFGCMD-UHFFFAOYSA-N 0.000 claims description 2
- 229940095100 fulvic acid Drugs 0.000 claims description 2
- 239000000463 material Substances 0.000 claims description 2
- 238000005516 engineering process Methods 0.000 abstract description 5
- 229910052799 carbon Inorganic materials 0.000 description 10
- 239000000126 substance Substances 0.000 description 7
- 239000003344 environmental pollutant Substances 0.000 description 6
- 231100000719 pollutant Toxicity 0.000 description 6
- 239000003651 drinking water Substances 0.000 description 5
- 235000020188 drinking water Nutrition 0.000 description 5
- 239000003610 charcoal Substances 0.000 description 4
- 238000000295 emission spectrum Methods 0.000 description 4
- 238000000695 excitation spectrum Methods 0.000 description 4
- 238000012512 characterization method Methods 0.000 description 3
- 239000002352 surface water Substances 0.000 description 3
- 238000004140 cleaning Methods 0.000 description 2
- 150000001875 compounds Chemical class 0.000 description 2
- 239000003864 humus Substances 0.000 description 2
- 230000000813 microbial effect Effects 0.000 description 2
- 102000004169 proteins and genes Human genes 0.000 description 2
- 108090000623 proteins and genes Proteins 0.000 description 2
- 239000010420 shell particle Substances 0.000 description 2
- RBTBFTRPCNLSDE-UHFFFAOYSA-N 3,7-bis(dimethylamino)phenothiazin-5-ium Chemical compound C1=CC(N(C)C)=CC2=[S+]C3=CC(N(C)C)=CC=C3N=C21 RBTBFTRPCNLSDE-UHFFFAOYSA-N 0.000 description 1
- ZCYVEMRRCGMTRW-UHFFFAOYSA-N 7553-56-2 Chemical compound [I] ZCYVEMRRCGMTRW-UHFFFAOYSA-N 0.000 description 1
- 238000002835 absorbance Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 239000008187 granular material Substances 0.000 description 1
- 229910052740 iodine Inorganic materials 0.000 description 1
- 239000011630 iodine Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 229960000907 methylthioninium chloride Drugs 0.000 description 1
- 244000005700 microbiome Species 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
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- 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
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/64—Fluorescence; Phosphorescence
- G01N21/6428—Measuring fluorescence of fluorescent products of reactions or of fluorochrome labelled reactive substances, e.g. measuring quenching effects, using measuring "optrodes"
- G01N21/643—Measuring fluorescence of fluorescent products of reactions or of fluorochrome labelled reactive substances, e.g. measuring quenching effects, using measuring "optrodes" non-biological material
-
- 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
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/64—Fluorescence; Phosphorescence
- G01N2021/6417—Spectrofluorimetric devices
- G01N2021/6419—Excitation at two or more wavelengths
Abstract
The invention discloses a method for judging adsorption affinity of granular activated carbon to organic pollution components, which comprises the following steps: washing the granular activated carbon with ultrapure water, boiling for a plurality of times, drying to constant weight, then placing the granular activated carbon in a constant-temperature oscillating box to adsorb organic pollutants in water to reach adsorption balance, and measuring the three-dimensional fluorescence spectrum of the adsorbed organic pollutants; using data analysis software to select a specific analysis tool pack to perform parallel factor analysis on the fluorescence spectrum data, determining the types and fluorescence intensities of the components of the organic pollutants, and calculating the fluorescence intensity ratio between the components of the organic matters before and after adsorption; and finally judging the adsorption affinity of the granular activated carbon to different components in the organic pollutants. The invention compensates DOC and UV 254 The problem that the organic pollutants cannot be accurately represented is solved, the adsorption affinity of the granular activated carbon to different components of the organic pollutants is judged through the fluorescence intensity ratio, and the granular activated carbon with the adsorption characteristics matched with the raw water quality condition is selected, so that the aim of rapidly and efficiently utilizing the activated carbon adsorption technology is fulfilled.
Description
Technical Field
The invention belongs to the technical field of water treatment, and discloses a method for judging adsorption affinity of granular activated carbon to organic pollutant components, in particular to a method for judging adsorption affinity of granular activated carbon to different organic pollutant components in advanced treatment of drinking water.
Background
The Granular Activated Carbon (GAC) adsorption technology can effectively adsorb organic pollutants, ensure the safety of drinking water and is widely applied to the field of advanced treatment of drinking water. The granular activated carbon has rich varieties and different adsorption characteristics, and has different adsorption performances on organic matters in different molecular weight ranges of pollutants, so that the most important problem of the advanced treatment technology of activated carbon drinking water is to select which carbon is used for raw water with different water qualities.
Surface water for drinking water production contains a variety of Natural Organic Matter (NOM) including both humic compounds (e.g. humic and fulvic acids) and algae-derived organic matter (AOM) from phytoplankton. In the process of adsorbing organic pollutants by GAC, the traditional parameters such as iodine value, methylene blue value, specific surface area and the like are difficult to be used as indexes for evaluating the performance of adsorbing organic pollutants by GAC due to large pollutant property differences. In addition, soluble organic carbon (DOC) and absorbance (UV) at 254nm wavelength ultraviolet light commonly used to characterize organic contaminant removal 254 ) The indexes of the method are also difficult to characterize the removal condition of each component of the organic pollutant, and the proper activated carbon type cannot be selected according to the pollutant components contained in the raw water. How to select GAC with corresponding adsorption characteristics for different organic contaminant components is the key to efficiently apply the GAC adsorption technology.
Fluorescence excitation-emission matrix combined with parallel factor analysis has been widely used as a sensitive and rapid organic characterization tool based on fluorescent components. The method can effectively separate organic pollutants into independent fluorescent components, so that the source of the fluorescent components can be known, and the fluorescent component F max The ratio between can be used to illustrate quantitative and qualitative differences between the different components. At present, less consideration is given to the adsorption affinity of the activated carbon to pollutants in the adsorption performance of the granular activated carbon, and no matched judging method is established for the adsorption affinity of the activated carbon.
Based on the analysis, the invention utilizes the fluorescence intensity ratio to characterize the adsorption affinity of the granular activated carbon to each component of the organic pollutant, thereby solving the problems of DOC and UV 254 The comprehensive indexes of the organic pollutant can be used for representing the problem that the organic pollutant is not representative, and the organic pollutant can be targeted according to the adsorption affinity of different varieties of granular activated carbon to different components of the organic pollutantIs applied to the removal of corresponding organic pollutants.
Disclosure of Invention
In view of the above-mentioned shortcomings, the invention provides a method for judging the adsorption affinity of granular activated carbon to different components of organic pollutants, aiming at the problem that the GAC adsorption organic pollutant characterization index is not representative, and the adsorption affinity of various granular activated carbon to different components of organic pollutants can be better evaluated by utilizing the fluorescence intensity ratio.
In order to solve the technical problems, the invention adopts the following technical scheme:
a method for judging adsorption affinity of activated carbon to organic pollution components, comprising the following steps:
(1) The granular activated carbon was washed with ultrapure water and boiled multiple times, and dried at 105℃to constant weight. The granular activated carbon is placed in a constant temperature shaking box (25+/-1 ℃) to absorb the organic pollutants for a certain time so as to ensure that the adsorption balance is achieved, and the three-dimensional fluorescence spectrum of the organic pollutants after the adsorption is measured.
(2) And (3) selecting a specific analysis tool kit by utilizing data analysis software to perform parallel factor analysis on the fluorescence spectrum data, determining the number of organic pollutant components and the fluorescence intensity, and calculating the fluorescence intensity ratio between the organic pollutant components before and after adsorption.
Judging adsorption affinity of the granular activated carbon to different components of the organic pollutants:
1) If the organic pollutant is compound pollutant such as algae-derived organic matter and natural organic matter, analyzing to obtain components C1, C2, C3, and adsorbing with granular activated carbon to obtain fluorescence intensity F max The ratio C1/C2 (C1/C3, C2/C3) is significantly higher than the C1/C2 (C1/C3, C2/C3) of the original organic contaminant, indicating that the adsorption affinity of the granular activated carbon to component C2 (C3, C3) is higher than component C1 (C1, C2); fluorescence intensity F after adsorption of granular activated carbon max The ratio C1/C2 (C1/C3, C2/C3) is not significantly changed compared with the ratio C1/C2 (C1/C3, C2/C3) of the original organic pollutants, which indicates that the adsorption affinity of the granular activated carbon to the components C1, C2 or C1 and C3 is similar.
2) If the organic pollutant is a single pollutant, such as algae-derived organic matter, components C1 and C4 are obtained through analysis, and the fluorescence intensity Fmax ratio C1/C4 of the granular activated carbon after adsorption is obviously higher than that of the C1/C4 of the original organic pollutant, which indicates that the adsorption affinity of the granular activated carbon to the component C4 is higher than that of the component C1; the fluorescence intensity Fmax ratio C1/C4 of the granular activated carbon after adsorption is not obviously changed compared with the C1/C4 of the original organic pollutant, which indicates that the adsorption affinity of the granular activated carbon to the components C1 and C4 is similar.
Further, the granular activated carbon materials include, but are not limited to: coconut shell, apricot shell, peach shell.
Further, the organic contaminants include: algae-derived organic matter, humic acid, fulvic acid, natural organic matter or mixtures thereof.
Further, the three-dimensional fluorescence spectrum test condition is that the excitation (Ex) range is 200-450 nm, the interval is 5nm, the emission (Em) range is 250-550 nm, the interval is 2nm, and the scanning speed is 1200nm/min.
Further, the parallel factor analysis is to perform parallel factor analysis on fluorescence spectrum data by using DOMFlour toolbox in MATLAB, wherein the number of samples is not less than 30 parts, and the number of effective fluorescent components and the maximum fluorescence intensity F of each fluorescent component are obtained through a dichotomy and a random assignment test max And calculates the fluorescence intensity ratio.
Further, the fluorescence intensity ratio after adsorption is significantly higher than that of the original organic pollutants, which means that the fluorescence intensity ratio after adsorption is 1 time or more higher than that of the raw water.
Further, the fluorescence intensity ratio after adsorption has no obvious change compared with the original organic pollutants, which means that the difference value between the fluorescence intensity ratio after adsorption and raw water is within 1 time.
The invention has the beneficial effects that:
(1) Judging adsorption affinity of the granular activated carbon to different components of organic pollutants through fluorescence intensity ratio, and making up DOC and UV 254 The problem of not accurately characterizing organic contaminants.
(2) The adsorption affinity of the granular activated carbon to different components of the organic pollutants is judged through the fluorescence intensity ratio, and the granular activated carbon with the matched adsorption characteristic can be selected according to the raw water quality condition, so that the aim of efficiently utilizing the activated carbon adsorption technology is fulfilled.
(3) The adsorption affinity of the granular activated carbon to different components of the organic pollutant is judged through the fluorescence intensity ratio, and the method is high in applicability to the organic pollutant and more accurate in characterization.
Drawings
FIG. 1 is a fluorescence morphology of component C1 resolved by the parallel-factorization method;
FIG. 2 is a graph of excitation and emission spectra of component C1 resolved by the parallel-factorization method;
FIG. 3 is a fluorescence morphology of component C2 resolved by the parallel-factorization method;
FIG. 4 is a graph of excitation and emission spectra of component C2 resolved by the parallel-factorization method;
FIG. 5 is a fluorescence morphology of component C3 resolved by the parallel-factorization method;
FIG. 6 is a graph of excitation and emission spectra of component C3 resolved by the parallel-factorization method;
FIG. 7 is a graph showing the change in fluorescence intensity ratio after treatment of AOM and SRNOM composite contaminants with raw water and activated carbon;
FIG. 8 is a fluorescence morphology of component C4 resolved by the parallel-factorization method;
FIG. 9 is a graph of excitation and emission spectra of component C4 resolved by the parallel-factorization method;
fig. 10 shows the change in fluorescence intensity ratio after treatment of AOM with raw water and activated carbon.
Detailed Description
The present invention will now be described in detail with reference to the following examples, which are only a few, but not all, examples of the invention.
Example 1:
the peach shell granular activated carbon is used for adsorbing organic pollutants. Organic pollutants AOM (algae-derived organic matter) and SRNOM (natural organic matter of SawanyHe) are mixed according to DOC concentration ratio of 1:1, preparing, namely cleaning and boiling granular activated carbon with ultrapure water for three times, drying to constant weight at 105 ℃, and adsorbing the granular activated carbon in a constant-temperature oscillating box for 12 hours according to the carbon adding amount of 5g/L to ensure the adsorption saturation of the activated carbon. Measuring three-dimensional fluorescence spectra before and after adsorption, and utilizing DOMFlour toolbox pair in MATLABThe fluorescence spectrum data is subjected to parallel factor analysis, and the number of effective fluorescent components and the maximum fluorescence intensity F of each fluorescent component are obtained through a dichotomy and random assignment inspection max 。
TABLE 1 parallel factor analysis to determine the identity of three fluorescent components in organic pollutants
From the results in table 1, it can be seen that: through analysis, 3 fluorescent components are obtained, two obvious excitation wavelengths exist in the component C1 at 230nm and 280nm, the maximum emission wavelength is 330nm, the fluorescent components represent microbial source protein substances in surface water, the fluorescent components are characteristic components of AOM, the component C2 has two obvious excitation wavelengths at 240nm and 305nm, the maximum emission wavelength is 430nm, the fluorescent components represent microorganisms or marine humic substances, the component C3 has two obvious excitation wavelengths at 270nm and 340nm, the maximum emission wavelength is 470nm, the fluorescent components represent land-derived humic substances, the C2 and C3 are mainly derived from SRNOM, and specific results of the components are shown in tables 1 and 1-6. The fluorescence intensity ratios among the three components are calculated, and specific results are shown in fig. 7, wherein the difference value between the three fluorescence intensity ratios after the peach shell carbon adsorption treatment and raw water is within 1 time, which shows that the adsorption affinity of the peach shell carbon to the three components is similar.
Example 2:
coconut shell granular activated carbon is used to adsorb organic contaminants. Organic pollutants AOM (algae-derived organic matter) and SRNOM (natural organic matter of SawanyHe) are mixed according to DOC concentration ratio of 1:1, preparing, namely cleaning and boiling granular activated carbon with ultrapure water for three times, drying to constant weight at 105 ℃, and adsorbing the granular activated carbon in a constant-temperature oscillating box for 12 hours according to the carbon adding amount of 5g/L to ensure the adsorption saturation of the activated carbon. Measuring three-dimensional fluorescence spectra before and after adsorption, carrying out parallel factor analysis on fluorescence spectrum data by utilizing DOMFlour toolbox in MATLAB, and carrying out dichotomy and follow-upThe number of the effective fluorescent components and the maximum fluorescent intensity F of each fluorescent component are obtained by machine assignment inspection max The specific results of the components are shown in Table 1 and FIGS. 1-6. The fluorescence intensity ratios among the three components are calculated, and specific results are shown in fig. 7, wherein the C1/C2 and C1/C3 of the coconut shell carbon after adsorption treatment are more than 1 time of raw water, which shows that the adsorption affinity of the coconut shell carbon to the C2 and C3 is higher than that of the component C1, and the difference value of the C2/C3 and the raw water is within 1 time, which shows that the coconut shell carbon has similar adsorption affinity to the C2 and C3.
Example 3:
apricot kernel granular activated carbon is used for adsorbing organic pollutants. The organic pollutants are AOM (algae-derived organic matter) and SRNOM (natural organic matter of SawanyHe) according to the DOC concentration ratio of 1:1 configuration, the DOC total concentration is 1.7mg/L, the granular activated carbon is washed and boiled with ultrapure water three times, dried to constant weight at 105 ℃, and adsorbed in a constant temperature shaking box for 12 hours with a carbon addition amount of 5g/L to ensure the adsorption saturation of the activated carbon. Measuring three-dimensional fluorescence spectra before and after adsorption, carrying out parallel factor analysis on fluorescence spectrum data by utilizing DOMFlour tool box in MATLAB, and obtaining the number of effective fluorescent components and the maximum fluorescence intensity F of each fluorescent component through a dichotomy and random assignment inspection max The specific results of the components are shown in Table 1 and FIGS. 1-6. The fluorescence intensity ratios among the three components are calculated, and specific results are shown in figure 7, wherein C1/C2 and C1/C3 of the apricot shell carbon after adsorption treatment are higher than that of raw water by more than 1 time, so that the adsorption affinity of the apricot shell carbon to C2 and C3 is higher than that of the component C1, and the difference value of C2/C3 and raw water is within 1 time, so that the apricot shell carbon has similar adsorption affinity to C2 and C3. Therefore, when the content of humus substances in raw water is high, coconut shell and apricot shell carbon can be selected, wherein the adsorption affinity of the apricot shell carbon to the humus substances is better than that of the coconut shell carbon.
Implementation example 4:
the peach shell granular activated carbon is used for adsorbing organic pollutants. The organic pollutant is AOM (algae-derived organic matter), DOC concentration is 1.7mg/L, the activated carbon of the peach shell particles is washed and boiled for three times by ultrapure water, and is dried to constant weight at 105 ℃, and the activated carbon is adsorbed for 12 hours in a constant-temperature oscillating box with the carbon adding amount of 5g/L so as to ensure the adsorption saturation of the activated carbon. Measuring three-dimensional fluorescence before and after adsorptionSpectrum, carrying out parallel factor analysis on fluorescence spectrum data by using DOMFlour tool box in MATLAB, and obtaining the number of effective fluorescent components and the maximum fluorescence intensity F of each fluorescent component through dichotomy and random assignment inspection max 。
TABLE 2 parallel factor analysis to determine the identity of two fluorescent components in organic pollutants
From the results in table 2, it can be seen that: through analysis, 2 fluorescent components are obtained, wherein two obvious excitation wavelengths exist in the component C1 at 230nm and 280nm, the maximum emission wavelength is 330nm and represents microbial source protein substances in surface water, two obvious excitation wavelengths exist in the component C4 at 275nm and 365nm, the maximum emission wavelength is 450nm and represents humanoid substances, and specific results of the components are shown in Table 2, figures 1-2 and 8-9. The ratio of fluorescence intensity between the two components was calculated, and the specific result is shown in FIG. 10, wherein the ratio of fluorescence intensity of the peach shell charcoal C1/C4 is 1 times higher than that of the raw water, indicating that the adsorption affinity of the peach shell charcoal to the component C4 is higher than that of the component C1.
Implementation example 5:
coconut shell granular activated carbon is used to adsorb organic contaminants. The organic pollutant is AOM (algae-derived organic matter), DOC concentration is 1.7mg/L, coconut shell granule active carbon is washed with ultrapure water and boiled for three times, dried to constant weight at 105 ℃, and adsorbed for 12h in a constant temperature shaking box with carbon adding amount of 5g/L to ensure the adsorption saturation of the active carbon. Measuring three-dimensional fluorescence spectra before and after adsorption, carrying out parallel factor analysis on fluorescence spectrum data by utilizing DOMFlour tool box in MATLAB, and obtaining the number of effective fluorescent components and the maximum fluorescence intensity F of each fluorescent component through a dichotomy and random assignment inspection max The specific results of the components are shown in Table 2, FIGS. 1-2 and FIGS. 8-9. The fluorescence intensity ratio between the two components was calculated, and the specific result is shown in FIG. 10, in which the fluorescence intensity ratio of coconut shell charcoal C1/C4 was 1-fold higher than that of raw water, indicating that the adsorption affinity of coconut shell charcoal to component C4 was higher than that of component C1.
Implementation example 6:
apricot kernel granular activated carbon is used for adsorbing organic pollutants. The organic pollutant is AOM (algae-derived organic matter), DOC concentration is 1.7mg/L, the activated carbon with apricot shell particles is washed with ultrapure water and boiled for three times, dried to constant weight at 105 ℃, and adsorbed for 12 hours in a constant-temperature oscillating box with carbon adding amount of 5g/L so as to ensure the adsorption saturation of the activated carbon. Measuring three-dimensional fluorescence spectra before and after adsorption, carrying out parallel factor analysis on fluorescence spectrum data by utilizing DOMFlour tool box in MATLAB, and obtaining the number of effective fluorescent components and the maximum fluorescence intensity F of each fluorescent component through a dichotomy and random assignment inspection max The specific results of the components are shown in Table 2, FIGS. 1-2 and FIGS. 8-9. The ratio of fluorescence intensity between the two components was calculated, and the specific result is shown in FIG. 10, in which the ratio of fluorescence intensity of apricot shell carbon C1/C4 was 1-fold higher than that of raw water, indicating that the adsorption affinity of apricot shell carbon to component C4 was higher than that of component C1. Therefore, the apricot shell carbon, the coconut shell carbon and the peach shell carbon have better adsorption affinity for the component C4 in algae source organic matters, and the apricot shell carbon, the coconut shell carbon and the peach shell carbon are sequentially from high to low in adsorption affinity for the component C4.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention.
Claims (8)
1. A method for determining the adsorption affinity of granular activated carbon for organic contaminant components comprising:
(1) Washing and boiling the granular activated carbon with ultrapure water, drying to constant weight at 105 ℃, placing the granular activated carbon in a constant-temperature oscillating box to adsorb organic pollutants to reach adsorption balance, and measuring the three-dimensional fluorescence spectrum of the adsorbed organic pollutants;
(2) Using data analysis software to select a specific analysis tool pack to perform parallel factor analysis on the fluorescence spectrum data, determining the number of organic pollutant components and the fluorescence intensity, and calculating the fluorescence intensity ratio between the organic pollutant components before and after adsorption;
(3) Judging adsorption affinity of the granular activated carbon to different components in the organic pollutants:
a. if the fluorescence intensity Fmax ratio C1/C2 of the granular activated carbon after adsorption is obviously higher than that of the original organic pollutant C1/C2, the adsorption affinity of the granular activated carbon to the component C2 is higher than that of the component C1;
b. if the fluorescence intensity Fmax ratio C1/C2 of the granular activated carbon after adsorption is not obviously changed compared with the C1/C2 of the original organic pollutant, the adsorption affinity of the granular activated carbon to the components C1 and C2 is similar.
2. The method according to claim 1, wherein:
the granular activated carbon material in the step (1) comprises the following components: coconut shell, apricot shell, peach shell.
3. The method according to claim 1, wherein:
the temperature conditions of the constant-temperature oscillating box in the step (1) are as follows: 25.+ -. 1 ℃.
4. The method according to claim 1, wherein:
the organic contaminants of step (1) include: algae-derived organic matter, humic acid, fulvic acid, or natural organic matter.
5. The method according to claim 1, wherein:
the three-dimensional fluorescence spectrum test condition in the step (1) is that the excitation range is 200-450 nm, the interval is 5nm, the emission range is 250-550 nm, the interval is 2nm, and the scanning speed is 1200nm/min.
6. The method according to claim 1, wherein:
the parallel factor analysis of step (2) includes:
and (3) carrying out parallel factor analysis on the fluorescence spectrum data by using a DOMFlour tool box in MATLAB, wherein the number of samples is not less than 30 parts, obtaining the number of effective fluorescent components and the maximum fluorescence intensity Fmax of each fluorescent component through a dichotomy and random assignment inspection, and calculating the fluorescence intensity ratio.
7. The method according to claim 1, wherein:
the fluorescence intensity ratio after adsorption in the step (3) is obviously higher than that of the original organic pollutants, namely the fluorescence intensity ratio after adsorption is 1 time or more higher than that of the raw water.
8. The method according to claim 1, wherein:
the fluorescence intensity ratio after adsorption in the step (3) has no obvious change compared with the original organic pollutants, namely the difference value between the fluorescence intensity ratio after adsorption and raw water is within 1 time.
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