CN113640262A - Technical method for rapidly identifying compost maturity degree by using fluorescence method - Google Patents
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- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000002795 fluorescence method Methods 0.000 title claims abstract description 16
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- 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 9
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- 238000012544 monitoring process Methods 0.000 claims description 9
- 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 8
- 238000002189 fluorescence spectrum Methods 0.000 claims description 8
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- 238000002835 absorbance Methods 0.000 claims description 7
- 239000000284 extract Substances 0.000 claims description 7
- GWEVSGVZZGPLCZ-UHFFFAOYSA-N Titan oxide Chemical compound O=[Ti]=O GWEVSGVZZGPLCZ-UHFFFAOYSA-N 0.000 claims description 6
- 238000002790 cross-validation Methods 0.000 claims description 6
- 238000001035 drying Methods 0.000 claims description 6
- 239000003864 humus Substances 0.000 claims description 6
- 239000011941 photocatalyst Substances 0.000 claims description 6
- 238000006243 chemical reaction Methods 0.000 claims description 5
- 229910052500 inorganic mineral Inorganic materials 0.000 claims description 5
- 239000011707 mineral Substances 0.000 claims description 5
- 238000000354 decomposition reaction Methods 0.000 claims description 4
- 238000001228 spectrum Methods 0.000 claims description 4
- COLNVLDHVKWLRT-QMMMGPOBSA-N L-phenylalanine Chemical compound OC(=O)[C@@H](N)CC1=CC=CC=C1 COLNVLDHVKWLRT-QMMMGPOBSA-N 0.000 claims description 3
- QIVBCDIJIAJPQS-VIFPVBQESA-N L-tryptophane Chemical compound C1=CC=C2C(C[C@H](N)C(O)=O)=CNC2=C1 QIVBCDIJIAJPQS-VIFPVBQESA-N 0.000 claims description 3
- OUYCCCASQSFEME-QMMMGPOBSA-N L-tyrosine Chemical compound OC(=O)[C@@H](N)CC1=CC=C(O)C=C1 OUYCCCASQSFEME-QMMMGPOBSA-N 0.000 claims description 3
- QIVBCDIJIAJPQS-UHFFFAOYSA-N Tryptophan Natural products C1=CC=C2C(CC(N)C(O)=O)=CNC2=C1 QIVBCDIJIAJPQS-UHFFFAOYSA-N 0.000 claims description 3
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- 238000006555 catalytic reaction Methods 0.000 claims description 3
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- 125000001997 phenyl group Chemical group [H]C1=C([H])C([H])=C(*)C([H])=C1[H] 0.000 claims description 3
- COLNVLDHVKWLRT-UHFFFAOYSA-N phenylalanine Natural products OC(=O)C(N)CC1=CC=CC=C1 COLNVLDHVKWLRT-UHFFFAOYSA-N 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims description 3
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- 239000004408 titanium dioxide Substances 0.000 claims description 3
- OUYCCCASQSFEME-UHFFFAOYSA-N tyrosine Natural products OC(=O)C(N)CC1=CC=C(O)C=C1 OUYCCCASQSFEME-UHFFFAOYSA-N 0.000 claims description 3
- 239000002105 nanoparticle Substances 0.000 claims description 2
- 239000005416 organic matter Substances 0.000 claims 1
- 238000009264 composting Methods 0.000 description 7
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 6
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- 238000004458 analytical method Methods 0.000 description 2
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- 238000002329 infrared spectrum Methods 0.000 description 2
- VUZPPFZMUPKLLV-UHFFFAOYSA-N methane;hydrate Chemical compound C.O VUZPPFZMUPKLLV-UHFFFAOYSA-N 0.000 description 2
- 229910052760 oxygen Inorganic materials 0.000 description 2
- 239000001301 oxygen Substances 0.000 description 2
- 238000009423 ventilation Methods 0.000 description 2
- 229910001868 water Inorganic materials 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 229910021529 ammonia Inorganic materials 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
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- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 210000003608 fece Anatomy 0.000 description 1
- 244000144972 livestock Species 0.000 description 1
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- 238000012986 modification Methods 0.000 description 1
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- 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
- 239000010815 organic waste Substances 0.000 description 1
- 150000002989 phenols Chemical class 0.000 description 1
- 235000021178 picnic Nutrition 0.000 description 1
- 244000144977 poultry Species 0.000 description 1
- 238000004064 recycling Methods 0.000 description 1
- 239000010802 sludge Substances 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 231100000331 toxic Toxicity 0.000 description 1
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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
-
- 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
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- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Biochemistry (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Analysing Materials By The Use Of Radiation (AREA)
- Investigating, Analyzing Materials By Fluorescence Or Luminescence (AREA)
- Processing Of Solid Wastes (AREA)
Abstract
The invention discloses a technical method for rapidly identifying compost maturity by using a fluorescence method, which can be summarized as a whole, wherein S1 samples collected at different stages are respectively placed in different containers, and the containers for collecting the samples are placed on a preset crawler belt and horizontally correspond to a fluorescence spectrometer; s2, scanning the sample by a fluorescence spectrometer, identifying characteristic functional groups of the compound by fluorescence, and determining 3-5 parts of the compound and the compound with the compost maturity degree reaching the standard as an identification model and important designated parameters. According to the technical method for rapidly identifying the compost maturity degree by using the fluorescence method, in the temperature generation process, the odor of the compost body is thickened or lightened along with the temperature change, and the color of the compost body is deepened along with the temperature change, the compost maturity degree is identified through the data set, the compost maturity degree can be visually identified, and meanwhile, auxiliary judgment can be carried out by matching with the odor and the color change, so that the identification efficiency of the compost body is increased.
Description
Technical Field
The invention relates to the technical field of compost maturity degree identification, in particular to a technical method for rapidly identifying compost maturity degree by using a fluorescence method.
Background
The high-temperature aerobic composting is one of the most important ways for recycling solid organic wastes such as kitchen garbage, municipal sludge, livestock and poultry manure and the like in various countries in the world, the composting decomposition degree is an important scale for evaluating the composting process and the quality of composting products, and the fluorescence spectrometer can distinguish the characteristic functional groups of compounds, not only can provide information of organic molecular frameworks, but also can more sensitively reflect the fine identification of the chemical environment of carbon nuclei and provide help for measuring complex organic matters.
However, the non-decomposed compost contains micromolecular organic matters, ammonia, volatile organic acids, phenols and the like which are toxic to plants, the growth and development of crops are affected after the compost is applied to soil, and the purposes of increasing both production and income cannot be achieved;
however, when the compost maturity degree of the compost body is identified, the adopted color judgment and odor judgment efficiency is low, and the accurate identification effect cannot be achieved, even if partial problems can be avoided by the existing infrared spectrum technology, the quick identification effect can be achieved, but substances released during identification have certain pollution, and the online analysis cannot be performed due to region limitation, so that the identification limitation is increased, and therefore, a technical method for quickly identifying the compost maturity degree by using a fluorescence method is needed.
Disclosure of Invention
The invention aims to provide a technical method for rapidly identifying compost maturity by using a fluorescence method, which aims to solve the problems that the adopted color judgment and odor judgment efficiency is low and the accurate identification effect cannot be accurately achieved when the compost maturity of compost bodies is identified in the background technology, even if the existing infrared spectrum technology can avoid partial problems and can achieve the rapid identification effect, substances released during identification have certain pollution and can be limited by regions to cause the online analysis failure, and the identification limitation is increased.
In order to achieve the purpose, the invention provides the following technical scheme: a technical method for rapidly identifying compost maturity by using a fluorescence method comprises the following steps:
s1, collecting samples in different stages and respectively placing the samples in different containers, wherein the containers for collecting the samples are placed on a preset crawler belt and horizontally correspond to the position of the fluorescence spectrometer;
s2, scanning the sample by a fluorescence spectrometer, identifying characteristic functional groups of the compound by fluorescence, and determining 3-5 parts of the compound and the compound with the compost maturity degree reaching the standard as an identification model and important designated parameters;
s3, comparing the spectrum and each peak value of the preliminarily identified residual sample after scanning by a fluorescence spectrometer, wherein the wavelength difference is 10nm, and screening a compost sample of 260 nm and 280nm to store at 25 ℃;
s4, sequentially adding catalysts into the residual samples, cooling the samples to 7-9 ℃ after catalysis, keeping the temperature for 10-12S, recording and observing fluorescence excited state molecules to return to a ground state according to temperature value changes, wherein the spectral areas are 1/4 (340-355 nm) and 1/4 (285-310 nm);
s5, removing the abnormal value of the fluorescence spectrum by adopting a Stokes shift method: GH is more than or equal to 4.0 and NH is less than or equal to 2.0, wherein GH means the distance between each sample and a central sample point in a three-dimensional graph of scores, KT is a fluorescence decay rate index, samples with GH less than or equal to 4.0 are generally regarded as from the same group, samples with GH greater than 4.0 are regarded as abnormal samples and are removed, and an optimal calibration model is determined by using the highest cross validation decision coefficient and the lowest cross validation standard deviation SECV value;
s6, monitoring the odor of the removed sample in a period of time by using an odor measuring instrument, dispersing the removed sample in a stirring drum for 5-8 times, monitoring the absorbance value of the interior by using a spectrometer, and detecting and removing tryptophan, tyrosine, phenylalanine, fulvic acid and humic acid contained in the sample;
s7, recording according to the intensity of fluorescence in the sample, monitoring the decomposition and conversion process of the unstable organic matters, and extracting and recording the components of the mineral substance stabilized organic matters;
s8, comparing the optimal calibration model with the peak values of the rejected samples, drying the sample to be inspected with the peak value close to the peak value by using a quick drying device, taking out the sample to carry out humification detection, and evaluating the compost maturity according to parameters such as humus HS, humic acid HA, fulvic acid FA lining part FF and non-humus component NHF.
In a preferred embodiment of the present invention, in S1, each sample container is a 5L horizontal container, and the internal test sample is a mixed organic matrix of solid wastes from different kitchen wastes.
By adopting the technical scheme, the ventilation property in the container is better, the oxygen in the compost is increased, the capacity is larger, the detection base number of the sample is large, and the speed of decomposing organic matters is increased, so that the rapid identification is convenient.
In a preferred embodiment of the present invention, a photocatalyst represented by nano-sized titanium dioxide is used in S4.
By adopting the technical scheme, the photocatalyst can effectively influence the internal temperature of the compost, and the compost reaction can be observed by the temperature change within a period of time.
As a preferable technical scheme of the invention, the volume of the detection sample adopted in S5 is 1L, the abnormal value range of the fluorescence spectrum is within the ranges of GH being more than or equal to 4.0 and NH being less than or equal to 2.0, the frequency of detecting the sample is 4 times, and the time interval is 5-10 m.
By adopting the technical scheme, the internal numerical value of the sample is analyzed according to the abnormal value of the fluorescence spectrum, so that the compost maturity degree of the sample is conveniently identified, and the sample which does not meet the standard is removed.
As a preferred technical scheme of the invention, in S6, a spectrometer is adopted to record the absorbance change of the compost extract in the sample, and the compost extract accounts for 7% -9% of the total content of the sample.
By adopting the technical scheme, in the composting process, unstable organic matters are decomposed and converted into stable organic matters such as carbon dioxide, water and mineral substances, and the degree of the stable organic matters can be shown along with changes.
As a preferred technical scheme of the invention, in S7, the fluorescence intensity is divided into two stages, the intensity is enhanced, the molecular structure of a substance compound containing benzene rings and conjugated double bonds in organic matters in a sample is complicated, the intensity is weakened, and the molecular weight and aromatization in the sample are reduced.
By adopting the technical scheme, parameters such as CEC, humic substance HS, humic acid HA, fulvic acid FA fulvic part FF and non-humic substance NHF are obtained according to the change of humification parameters, and the parameters are used for rapidly identifying the compost maturity.
Compared with the prior art, the invention has the beneficial effects that: the technical method for rapidly identifying the compost maturity by using the fluorescence method comprises the following steps:
1. the samples are set into multiple parts, the samples with the numerical values closest to the compost maturity degree standard are screened out to serve as models, compost maturity can be reacted according to the change of luminosity and the change of absorbance of compost extracts, meanwhile, unstable organic matters can be decomposed and converted into stable organic matters such as carbon dioxide, water and mineral substances in the composting process, the degree of the stable organic matters can be shown along with the change, and the change of humification parameters can be researched, so that the compost maturity degree can be rapidly identified and evaluated.
2. Through adding photocatalyst in the compost internal portion, temperature variation can take place for the short time, fluorescence spectrometer scans the compost body to interval according to temperature variation time is taken notes, at the in-process that the temperature takes place, compost body smell is concentrated or light along with temperature variation, its colour also deepens along with the change of temperature, distinguish the compost maturity degree through above-mentioned data set, not only can audio-visually distinguish the compost maturity degree, can also cooperate smell and colour variation to carry out the assistance-determination simultaneously, thereby increase the discrimination efficiency to the compost body.
Drawings
FIG. 1 is a schematic flow chart of the overall process of the present invention;
FIG. 2 is a diagram of a fluorescence intensity spectrum after scanning by the spectrometer of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a technical scheme that: a technical method for rapidly identifying compost maturity by using a fluorescence method comprises the following steps:
s1, collecting samples in different stages and respectively placing the samples in different containers, wherein the containers for collecting the samples are placed on a preset crawler belt and horizontally correspond to the position of the fluorescence spectrometer; s2, scanning the sample by a fluorescence spectrometer, identifying characteristic functional groups of the compound by fluorescence, and determining 3-5 parts of the compound and the compound with the compost maturity degree reaching the standard as an identification model and important designated parameters; s3, comparing the spectrum and each peak value of the preliminarily identified residual sample after scanning by a fluorescence spectrometer, wherein the wavelength difference is 10nm, and screening a compost sample of 260 nm and 280nm to store at 25 ℃; s4, sequentially adding catalysts into the residual samples, cooling the samples to 7-9 ℃ after catalysis, keeping the temperature for 10-12S, recording and observing fluorescence excited state molecules to return to a ground state according to temperature value changes, wherein the spectral areas are 1/4 (340-355 nm) and 1/4 (285-310 nm); s5, removing the abnormal value of the fluorescence spectrum by adopting a Stokes shift method: GH is more than or equal to 4.0 and NH is less than or equal to 2.0, wherein GH means the distance between each sample and a central sample point in a three-dimensional graph of scores, KT is a fluorescence decay rate index, samples with GH less than or equal to 4.0 are generally regarded as from the same group, samples with GH greater than 4.0 are regarded as abnormal samples and are removed, and an optimal calibration model is determined by using the highest cross validation decision coefficient and the lowest cross validation standard deviation SECV value; s6, monitoring the odor of the removed sample in a period of time by using an odor measuring instrument, dispersing the removed sample in a stirring drum for 5-8 times, monitoring the absorbance value of the interior by using a spectrometer, and detecting and removing tryptophan, tyrosine, phenylalanine, fulvic acid and humic acid contained in the sample;
s7, recording according to the intensity of fluorescence in the sample, monitoring the decomposition and conversion process of the unstable organic matters, and extracting and recording the components of the mineral substance stabilized organic matters; in the three-dimensional FS of the DOM, tyrosine-like peaks (excitation/emission wavelengths are 270-290 nm and 220-230 nm/300-320 nm respectively) under 4 types of 66726126212.35701-1, namely high and low excitation wavelengths can be observed generally; tryptophan-like peaks at high and low excitation wavelengths (excitation/emission wavelengths of 270-290 nm and 220-230 nm/320-350 nm, respectively); fulvic acid peaks in the visible region and the ultraviolet region (excitation/emission wavelengths of 310-330 nm and 235-255 nm/410-450 nm respectively); a picnic acid-like peak (excitation/emission wavelengths are 350-440 nm/430-510 nm respectively); s8, comparing the optimal calibration model with the peak values of the rejected samples, drying the sample to be inspected with the peak value close to the peak value by using a quick drying device, taking out the sample to carry out humification detection, and evaluating the compost maturity according to parameters such as humus HS, humic acid HA, fulvic acid FA lining part FF and non-humus component NHF.
In S1, each sample container is a 5L horizontal container, and the internal detection sample is a mixed organic matrix of different kitchen waste solid wastes; the container has good ventilation, increases oxygen in the compost, has large capacity, makes the sample detection base number large, and improves the speed of decomposing organic matters, thereby being convenient for rapid identification.
The photocatalyst represented by nano-scale titanium dioxide is adopted in S4; the photocatalyst can effectively influence the internal temperature of the compost, and the compost reaction can be observed through the temperature change in a period of time.
In S5, the volume of the adopted detection sample is 1L, the range of the abnormal value of the fluorescence spectrum is within the range of GH being more than or equal to 4.0 and NH being less than or equal to 2.0, the frequency of detecting the sample is 4 times, and the time interval is 5-10 m; and analyzing the internal numerical value of the sample according to the abnormal value of the fluorescence spectrum, so that the compost maturity degree of the sample can be conveniently identified, and the sample which does not meet the standard can be removed.
In S6, recording the change of absorbance of the compost extract in the sample by using a spectrometer, wherein the compost extract accounts for 7-9% of the total content of the sample; in the composting process, unstable organic matters are decomposed and converted into stable organic matters such as carbon dioxide, water, mineral substances and the like, and the degree of the stable organic matters can be indicated along with changes.
In S7, the fluorescence intensity is divided into two stages, the intensity is enhanced, the molecular structure of a substance compound containing benzene rings and conjugated double bonds in organic matters in the sample is complicated, the intensity is weakened, and the molecular weight and aromatization in the sample are reduced; according to the change of the humification parameters, parameters such as CEC, humic substance HS, humic acid HA, fulvic acid FA rich part FF and non-humic substance NHF are obtained, and the parameters are used for rapidly identifying the compost maturity.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. A technical method for rapidly identifying compost maturity by using a fluorescence method is characterized by comprising the following steps:
s1, collecting samples in different stages and respectively placing the samples in different containers, wherein the containers for collecting the samples are placed on a preset crawler belt and horizontally correspond to the position of the fluorescence spectrometer;
s2, scanning the sample by a fluorescence spectrometer, identifying characteristic functional groups of the compound by fluorescence, and determining 3-5 parts of the compound and the compound with the compost maturity degree reaching the standard as an identification model and important designated parameters;
s3, comparing the spectrum and each peak value of the preliminarily identified residual sample after scanning by a fluorescence spectrometer, wherein the wavelength difference is 10nm, and screening a compost sample of 260 nm and 280nm to store at 25 ℃;
s4, sequentially adding catalysts into the residual samples, cooling the samples to 7-9 ℃ after catalysis, keeping the temperature for 10-12S, recording and observing fluorescence excited state molecules to return to a ground state according to temperature value changes, wherein the spectral areas are 1/4 (340-355 nm) and 1/4 (285-310 nm);
s5, removing the abnormal value of the fluorescence spectrum by adopting a Stokes shift method: GH is more than or equal to 4.0 and NH is less than or equal to 2.0, wherein GH means the distance between each sample and a central sample point in a three-dimensional graph of scores, KT is a fluorescence decay rate index, samples with GH less than or equal to 4.0 are generally regarded as from the same group, samples with GH greater than 4.0 are regarded as abnormal samples and are removed, and an optimal calibration model is determined by using the highest cross validation decision coefficient and the lowest cross validation standard deviation SECV value;
s6, monitoring the odor of the removed sample in a period of time by using an odor measuring instrument, dispersing the removed sample in a stirring drum for 5-8 times, monitoring the absorbance value of the interior by using a spectrometer, and detecting and removing tryptophan, tyrosine, phenylalanine, fulvic acid and humic acid contained in the sample;
s7, recording according to the intensity of fluorescence in the sample, monitoring the decomposition and conversion process of the unstable organic matters, and extracting and recording the components of the mineral substance stabilized organic matters;
s8, comparing the optimal calibration model with the peak values of the rejected samples, drying the sample to be inspected with the peak value close to the peak value by using a quick drying device, taking out the sample to carry out humification detection, and evaluating the compost maturity according to parameters such as humus HS, humic acid HA, fulvic acid FA lining part FF and non-humus component NHF.
2. The technical method for rapidly identifying the compost maturity degree by using the fluorescence method as claimed in claim 1, wherein: in the S1, each sample container is a 5L horizontal container, and the internal detection sample is a mixed organic matrix of different kitchen waste solid wastes.
3. The technical method for rapidly identifying the compost maturity degree by using the fluorescence method as claimed in claim 1, wherein: in S4, a photocatalyst represented by nano-sized titanium dioxide is used.
4. The technical method for rapidly identifying the compost maturity degree by using the fluorescence method as claimed in claim 1, wherein: in the S5, the volume of the adopted detection sample is 1L, the abnormal value range of the fluorescence spectrum is within the ranges of GH being more than or equal to 4.0 and NH being less than or equal to 2.0, the frequency of detecting the sample is 4 times, and the time interval is 5-10 m.
5. The technical method for rapidly identifying the compost maturity degree by using the fluorescence method as claimed in claim 1, wherein: in the S6, a spectrometer is used for recording the absorbance change of the compost extract in the sample, and the compost extract accounts for 7% -9% of the total content of the sample.
6. The technical method for rapidly identifying the compost maturity degree by using the fluorescence method as claimed in claim 1, wherein: the fluorescence intensity in the S7 is divided into two stages, the intensity is enhanced, the molecular structure of the substance compound containing benzene ring and conjugated double bond in the organic matter in the sample is complicated, the intensity is weakened, and the molecular weight and aromatization in the sample are reduced.
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| US20170010210A1 (en) * | 2014-03-28 | 2017-01-12 | Knu-Industry Cooperation Foundation | Method of simultaneously analyzing amount of nutritional component in various foods having different physicochemical properties and compositions by near-infrared reflectance spectroscopy |
| EP3141897A1 (en) * | 2015-09-09 | 2017-03-15 | Saras Ricerche e Tecnologie S.p.A. | Prediction method of chemical-physical properties of a petroleum distillation fraction |
| CN106841104A (en) * | 2017-03-14 | 2017-06-13 | 安徽科技学院 | A kind of method that near-infrared spectrum technique quickly analyzes total phenol in continuous cropping chu chrysanthemum soil |
| CN110361368A (en) * | 2019-06-17 | 2019-10-22 | 吉林求是光谱数据科技有限公司 | A method of obtaining green vegetable freshness database |
| CN112326593A (en) * | 2020-10-15 | 2021-02-05 | 浙江省农业科学院 | Method for rapidly monitoring decomposing degree of mushroom culture medium by utilizing near infrared technology |
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2021
- 2021-07-30 CN CN202110872809.3A patent/CN113640262A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170010210A1 (en) * | 2014-03-28 | 2017-01-12 | Knu-Industry Cooperation Foundation | Method of simultaneously analyzing amount of nutritional component in various foods having different physicochemical properties and compositions by near-infrared reflectance spectroscopy |
| CN103983626A (en) * | 2014-05-21 | 2014-08-13 | 周娟作 | Reagent for detecting lipase and method for rapidly detecting lipase |
| EP3141897A1 (en) * | 2015-09-09 | 2017-03-15 | Saras Ricerche e Tecnologie S.p.A. | Prediction method of chemical-physical properties of a petroleum distillation fraction |
| CN106841104A (en) * | 2017-03-14 | 2017-06-13 | 安徽科技学院 | A kind of method that near-infrared spectrum technique quickly analyzes total phenol in continuous cropping chu chrysanthemum soil |
| CN110361368A (en) * | 2019-06-17 | 2019-10-22 | 吉林求是光谱数据科技有限公司 | A method of obtaining green vegetable freshness database |
| CN112326593A (en) * | 2020-10-15 | 2021-02-05 | 浙江省农业科学院 | Method for rapidly monitoring decomposing degree of mushroom culture medium by utilizing near infrared technology |
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