A method for predicting the hydrophilicity / hydrophobicity of organic matter and membrane fouling potential based on differential spectroscopy.

Abstract

This invention provides a method for predicting the hydrophilicity / hydrophobicity and membrane fouling potential of organic matter based on differential spectroscopy, belonging to the field of water quality monitoring technology. The method includes: titrating the water sample to be tested with perchlorate; predicting the potential based on the UV-Vis differential spectrum of the water sample before and after titration; the influent to the membrane system is filtered and subjected to a full spectral scan to obtain a UV-Vis reference spectrum; the water sample enters the titration system, a perchlorate solution is added and mixed, a full spectral scan is performed, and the spectrum is corrected for volume concentration; the UV-Vis spectra of the sample before and after titration are normalized and differentially analyzed for total organic carbon to obtain a differential spectrum; Gaussian peak division is performed on the differential spectrum to obtain Gaussian bands; and the hydrophilicity / hydrophobicity and membrane fouling potential of organic matter in the water sample are determined based on the band ratio. This invention solves the problems of cumbersome preprocessing, complex and time-consuming analysis procedures, and difficulty in handling large-scale sample analysis in existing methods for predicting the hydrophilicity / hydrophobicity and membrane fouling potential of organic matter.

Description

Technical Field

[0001] This invention belongs to the field of water quality monitoring technology, and in particular relates to a method for predicting the hydrophilicity and hydrophobicity of organic matter and the potential for membrane fouling based on differential spectroscopy. Background Technology

[0002] With the increasingly severe water shortage situation in my country, wastewater reuse has become an effective way to alleviate water scarcity. After secondary biological treatment, the effluent still contains various organic substances, known as secondary effluent organic matter. Secondary effluent organic matter is a major source of membrane fouling during wastewater regeneration. To effectively control membrane fouling and extend the lifespan of membrane elements, it is essential to identify the hydrophilicity / hydrophobicity of secondary effluent organic matter and its potential for membrane fouling.

[0003] Traditional methods for analyzing the hydrophilicity / hydrophobicity of organic matter in secondary effluents often involve separation using macroporous resins, while membrane fouling characteristics are typically analyzed using methods such as membrane flux and membrane resistance. These methods are cumbersome in pretreatment, complex in analytical procedures, and time-consuming, making them unsuitable for analyzing large volumes of samples. With the development of smart water management, real-time acquisition and online monitoring of water quality information have become essential, and online analysis of the hydrophilicity / hydrophobicity and membrane fouling potential of organic matter in secondary effluents is beneficial for membrane fouling control. Therefore, establishing a rapid analytical method for the hydrophilicity / hydrophobicity and membrane fouling potential of organic matter in secondary effluents is crucial. Summary of the Invention

[0004] To address the aforementioned shortcomings in existing technologies, this invention provides a method for predicting the hydrophilicity / hydrophobicity and membrane fouling potential of organic matter based on differential spectroscopy. This method solves the problems of cumbersome preprocessing, complex and time-consuming analysis procedures, and difficulty in meeting the requirements for large-scale sample analysis in existing methods for predicting the hydrophilicity / hydrophobicity and membrane fouling potential of organic matter.

[0005] To achieve the above objectives, the technical solution adopted in this invention is as follows: a method for predicting the hydrophilicity / hydrophobicity and membrane fouling potential of organic matter based on differential spectroscopy, comprising the following steps:

[0006] S1. Obtain the sample to be tested and filter it. Place the filtered sample to be tested into the sample cell, select the predicted water sample and perform a full spectral scan to obtain the ultraviolet-visible reference spectrum of the predicted water sample, and titrate the predicted water sample with the titration solution to obtain the titrated water sample.

[0007] S2. Perform a full UV-Vis scan on the titration water sample according to the preset wavelength range to obtain the predicted UV-Vis titration spectrum of the water sample and perform correction to obtain the corrected UV-Vis titration spectrum.

[0008] S3. The corrected UV-Vis titration spectrum and the predicted UV-Vis reference spectrum of the water sample are standardized, and the difference spectrum is obtained by calculation.

[0009] S4. Standardize the differential spectrum for total organic carbon, extract Gaussian peak values ​​from the standardized differential spectrum to obtain a preset number of Gaussian bands, establish a standard curve by calculating the Gaussian band ratio, and calculate the proportion of hydrophilic and hydrophobic components of organic matter and the membrane fouling potential based on the standard curve.

[0010] The beneficial effects of this invention are as follows: This invention obtains differential spectra by performing a full spectral scan on the predicted water sample, followed by titration, and then combining correction and standardization. Through standard curves, it completes the prediction of the hydrophilicity / hydrophobicity of organic matter and the potential for membrane fouling, thereby reducing the complexity of pretreatment, realizing a rapid analysis procedure, reducing analysis time, and meeting the needs of large-scale sample analysis.

[0011] Further, S1 includes the following steps:

[0012] S101. Based on the secondary effluent from the wastewater treatment plant, obtain the sample to be tested, remove impurities and suspended solids from the sample to obtain the filtered sample to be tested.

[0013] S102. Place the filtered sample to be tested into the reference sample cell of the UV-Vis spectrophotometer.

[0014] S103. Based on the sample cell, select the predicted water sample and perform a full spectral scan of the predicted water sample according to the preset wavelength range to obtain the ultraviolet-visible reference spectrum of the predicted water sample.

[0015] S104. Titrate the predicted water sample with perchlorate solution to obtain a titrated water sample of the preset concentration.

[0016] The beneficial effects of the above-mentioned further solutions are as follows: The present invention obtains and filters the sample to be tested, selects the predicted water sample based on the reference sample cell of the ultraviolet-visible spectrophotometer, obtains the ultraviolet-visible reference spectrum, and realizes the display of the structural characteristics of organic matter in the sample through differential spectroscopy. At the same time, selecting the raw water as the reference spectrum can also eliminate the influence of inorganic ions in the water.

[0017] The predicted water sample was then titrated with a perchlorate solution to obtain a titrated water sample of the preset concentration. Titration with a perchlorate solution can avoid the interference of anions on the ultraviolet-visible spectrum.

[0018] Furthermore, S2 includes the following steps:

[0019] S201. Perform a full UV-Vis scan on the titration water sample according to the preset wavelength range to obtain the predicted UV-Vis titration spectrum of the water sample.

[0020] S202. Based on the titration solution and the UV-Vis titration spectrum of the titration solution, the predicted UV-Vis titration spectrum of the water sample is corrected to obtain the corrected UV-Vis titration spectrum.

[0021] Furthermore, the expression for the corrected and predicted UV-Vis titration spectrum of the water sample is as follows:

[0022] ;

[0023] in, This indicates the corrected UV-Vis titration spectrum. This indicates the predicted UV-Vis titration spectrum of the water sample. This indicates the ultraviolet-visible titration spectrum of the titrated solution. This indicates the volume of the water sample titrated. This indicates the volume of solution consumed in the titration. This indicates the predicted volume of the water sample before titration.

[0024] The beneficial effects of the above-mentioned further solution are as follows: By performing a full UV-Vis scan on the titrated water sample to obtain the UV-Vis titration spectrum and then correcting it, the changes in sample volume and spectral absorbance caused by titration are eliminated, so that the changes in spectral characteristics reflected by subsequent spectral analysis are entirely generated by changes in the electron cloud of organic matter.

[0025] Furthermore, step S4 includes the following steps:

[0026] S401. Normalize the differential spectrum to total organic carbon, and perform Gaussian peak division on the normalized differential spectrum to obtain the first Gaussian band, the second Gaussian band, the third Gaussian band, the fourth Gaussian band, and the fifth Gaussian band.

[0027] S402. By calculating the ratio of the fourth Gaussian band to the second Gaussian band, the differential spectral index is obtained.

[0028] S403. Set up the chromatography column and establish a standard curve based on the differential spectral parameters;

[0029] S404. The proportion of hydrophilic and hydrophobic components of organic matter and the membrane fouling potential are calculated based on the standard curve.

[0030] Furthermore, the first Gaussian band has specific parameters of 6.11 electron volts and 203 nanometers;

[0031] The second Gaussian band has specific parameters of 5.59 electron volts and 222 nanometers.

[0032] The third Gaussian band has the following parameters: 4.89 electron volts and 254 nanometers.

[0033] The fourth Gaussian band has specific parameters of 4.48 electron volts and 277 nanometers.

[0034] The fifth Gaussian band has specific parameters of 3.29 electron volts and 377 nanometers.

[0035] The beneficial effects of the above-mentioned further scheme are as follows: By standardizing the total organic carbon and Gaussian peaking, the present invention decomposes the differential spectrum into five Gaussian energy bands. Since the five Gaussian energy bands can replace the ultraviolet-visible differential spectrum and represent its spectral characteristics, the spectral prediction is more accurate.

[0036] Furthermore, S403 includes the following steps:

[0037] S4031. Sample the sample to be tested multiple times to obtain a water sample, and then pass the water sample through a preset filter membrane to obtain a filtered water sample.

[0038] S4032. The macroporous adsorption resin is activated using cyclohexane and methanol, and the activated macroporous adsorption resin is washed using ultrapure water. The washed macroporous adsorption resin is then packed into a chromatography column.

[0039] S4033. Using a peristaltic pump, the filtered water sample is continuously injected into the chromatography column according to the preset pump flow rate and sampling volume.

[0040] S4034. In response to the continuous injection of filtered water samples into the chromatography column, the total organic carbon content of the filtered water samples after injection into the chromatography column is determined, and the proportion of hydrophobic organic components in the sample to be tested is calculated.

[0041] S4035. Based on the specific fouling rate, the specific membrane fouling rate is calculated.

[0042] S4036. Based on the differential spectral index, the proportion of hydrophobic organic components in the sample to be tested, and the specific membrane fouling rate, a standard curve is obtained by establishing the relationship curve between the differential spectral index and the proportion of hydrophobic components and the specific membrane fouling rate using linear regression.

[0043] Furthermore, the expression for calculating the specific pollution rate is as follows:

[0044] ;

[0045] ;

[0046] in, Indicates the pollution rate. This indicates the total organic carbon content of the sample being tested. Indicates the pollution rate, Indicates the change in membrane resistance. Indicates specific osmotic volume. Indicates filtration pressure. Indicates the permeation viscosity. This indicates the filtration flux.

[0047] The beneficial effects of the above-mentioned further solutions are as follows: By calculating the proportion of hydrophobic organic components and the specific membrane fouling rate of the sample to be tested, and by using linear regression to establish the relationship curve between the differential spectral index and the proportion of hydrophobic components and the specific membrane fouling rate, the present invention achieves rapid identification and analysis of the hydrophilicity and hydrophobicity of organic matter and membrane fouling, providing data support for the prevention of membrane fouling and the addition of membrane cleaning agents. Attached Figure Description

[0048] Figure 1 This is a flowchart of the method of the present invention.

[0049] Figure 2 This is the UV-Vis titration spectrum of the water sample in this embodiment.

[0050] Figure 3 This is a differential spectrum of the effluent from the sequencing batch reactor in this embodiment.

[0051] Figure 4 This is a Gaussian peak diagram of the differential spectrum of the effluent from the sequencing batch reactor in this embodiment.

[0052] Figure 5 This is a diagram showing the proportion of hydrophobic components in water samples from different sources in this embodiment.

[0053] Figure 6 This is a graph showing the relationship between the predicted proportion of hydrophobic components and the actual proportion of hydrophobic components in water samples from different sources in this embodiment.

[0054] Figure 7 This diagram shows the relationship between the predicted membrane fouling rate and the actual membrane fouling rate of dissolved organic matter in water samples from different sources in this embodiment. Detailed Implementation

[0055] The specific embodiments of the present invention are described below to enable those skilled in the art to understand the present invention. However, it should be understood that the present invention is not limited to the scope of the specific embodiments. For those skilled in the art, various changes are obvious as long as they are within the spirit and scope of the present invention as defined and determined by the appended claims. All inventions utilizing the concept of the present invention are protected.

[0056] Before describing this embodiment, the following terms will be explained:

[0057] TOC: Total Organic Carbon;

[0058] XAD-8: Macroporous adsorption resin;

[0059] SFR: Rate of Contamination.

[0060] Example

[0061] like Figure 1 As shown, this invention provides a method for predicting the hydrophilicity / hydrophobicity and membrane fouling potential of organic matter based on differential spectroscopy, and its implementation method is as follows:

[0062] S1. Obtain and filter the sample to be tested. Place the filtered sample into the sample cell, select the predicted water sample and perform a full spectral scan to obtain the UV-Vis reference spectrum of the predicted water sample. Titrate the predicted water sample with the titration solution to obtain the titrated water sample. The specific steps are as follows:

[0063] S101. Based on the secondary effluent from the wastewater treatment plant, obtain the sample to be tested, remove impurities and suspended solids from the sample to obtain the filtered sample to be tested.

[0064] S102. Place the filtered sample to be tested into the reference sample cell of the UV-Vis spectrophotometer.

[0065] S103. Based on the sample cell, select the predicted water sample and perform a full spectral scan of the predicted water sample according to the preset wavelength range to obtain the ultraviolet-visible reference spectrum of the predicted water sample.

[0066] S104. Titrate the predicted water sample with perchlorate solution to obtain a titrated water sample of the preset concentration.

[0067] In this embodiment, a method for predicting the hydrophilicity / hydrophobicity and membrane fouling potential of organic matter based on differential spectroscopy is provided, specifically: a method for rapidly predicting the hydrophilicity / hydrophobicity and membrane fouling potential of dissolved organic matter in secondary effluent of wastewater treatment plants based on ultraviolet-visible differential spectroscopy.

[0068] Based on the secondary effluent from wastewater treatment plants, samples of biological treatment effluent from different wastewater treatment devices were collected for testing, and then utilized... The filter membrane is used to filter and remove impurities and suspended solids to obtain the filtered test sample. The filtered test sample is then placed in the reference sample cell of the UV-Vis spectrophotometer and a full spectral scan is performed within the preset wavelength range of 200nm-600nm to obtain the UV-Vis reference spectrum of the predicted water sample.

[0069] The predicted water sample was titrated with a perchlorate solution to obtain a titrated water sample. The preset concentration of metal ions after titration was 0-100 μmol / L. The perchlorate solution was a perchlorate solution of high-valence metal ions such as calcium, magnesium, iron, and aluminum.

[0070] S2. Perform a full UV-Vis scan of the titration water sample according to the preset wavelength range to obtain the predicted UV-Vis titration spectrum of the water sample and perform correction to obtain the corrected UV-Vis titration spectrum. The specific steps are as follows:

[0071] S201. Perform a full UV-Vis scan on the titration water sample according to the preset wavelength range to obtain the predicted UV-Vis titration spectrum of the water sample.

[0072] S202. Based on the titration solution and the UV-Vis titration spectrum of the titration solution, the predicted UV-Vis titration spectrum of the water sample is corrected to obtain the corrected UV-Vis titration spectrum.

[0073] In this embodiment, a full UV-Vis scan of the titrated water sample was performed within a preset wavelength range of 200nm-600nm to obtain the predicted UV-Vis titration spectrum of the water sample. The predicted UV-Vis titration spectrum of the water sample is as follows: Figure 2 The image shows the titration spectrum of the effluent from a sequencing batch reactor.

[0074] Based on the titration solution, i.e., the perchlorate solution, the UV-Vis titration spectrum of the predicted water sample is corrected according to the UV-Vis titration spectrum of the titration solution to obtain the corrected UV-Vis titration spectrum.

[0075] The expression for the UV-Vis titration spectrum of the corrected predicted water sample is as follows:

[0076] ;

[0077] in, This indicates the corrected UV-Vis titration spectrum. This indicates the predicted UV-Vis titration spectrum of the water sample. This indicates the ultraviolet-visible titration spectrum of the titrated solution. This indicates the volume of the water sample titrated. This indicates the volume of solution consumed in the titration. This indicates the predicted volume of the water sample before titration.

[0078] S3. The corrected UV-Vis titration spectrum and the predicted UV-Vis reference spectrum of the water sample are standardized, and the difference spectrum is obtained by calculation.

[0079] In this embodiment, the corrected UV-Vis titration spectrum and the predicted UV-Vis reference spectrum of the water sample are normalized using TOC to obtain the normalized UV-Vis titration spectrum and the normalized UV-Vis reference spectrum. The expression for TOC normalization is as follows:

[0080] ;

[0081] ;

[0082] in, This represents the standardized ultraviolet-visible titration spectrum. This indicates the total organic carbon content of the sample being tested. This represents a standardized ultraviolet-visible reference spectrum. This indicates the UV-Vis reference spectrum of the predicted water sample;

[0083] Using standardized UV-Vis titration spectra and standardized UV-Vis reference spectra, the following calculations were performed: Figure 3 The differential spectrum shown is specifically the differential spectrum of the effluent from a sequencing batch reactor.

[0084] The differential spectroscopy calculation expression is as follows:

[0085] ;

[0086] in, This represents a differential spectrum.

[0087] S4. Standardize the differential spectrum for total organic carbon, and extract Gaussian peak values ​​from the standardized differential spectrum to obtain a predetermined number of Gaussian bands. Establish a standard curve by calculating the Gaussian band ratios, and calculate the proportion of hydrophilic and hydrophobic components of organic matter and the membrane fouling potential based on the standard curve. The specific steps are as follows:

[0088] S401. Normalize the differential spectrum to total organic carbon, and perform Gaussian peak division on the normalized differential spectrum to obtain the first Gaussian band, the second Gaussian band, the third Gaussian band, the fourth Gaussian band, and the fifth Gaussian band.

[0089] S402. By calculating the ratio of the fourth Gaussian band to the second Gaussian band, the differential spectral index is obtained.

[0090] In this embodiment, the difference spectrum is standardized, and the expression for TOC standardization of the difference spectrum is as follows:

[0091] ;

[0092] in, This represents the standardized difference spectrum;

[0093] The normalized difference spectrum was then Gaussian-separated, decomposing it into a superposition of five Gaussian bands, such as... Figure 4 As shown, the first Gaussian band is 6.11 eV (203 nm; A0), the second Gaussian band is 5.59 eV (222 nm; A1), the third Gaussian band is 4.89 eV (254 nm; A2), the fourth Gaussian band is 4.48 eV (277 nm; A3), and the fifth Gaussian band is 3.29 eV (377 nm; A4).

[0094] Based on the square of the correlation coefficient, by calculating the ratio of each Gaussian band and comparing the square of the correlation coefficient of each ratio, the optimal spectral index is obtained as the ratio of the fourth Gaussian band to the second Gaussian band.

[0095] By calculating the ratio of the fourth Gaussian band to the second Gaussian band, that is... Differential spectral indices were obtained.

[0096] S403. Set up the chromatography column and establish a standard curve based on the differential spectral parameters. The specific steps are as follows:

[0097] S4031. Sample the sample to be tested multiple times to obtain a water sample, and then pass the water sample through a preset filter membrane to obtain a filtered water sample.

[0098] S4032. The macroporous adsorption resin is activated using cyclohexane and methanol, and the activated macroporous adsorption resin is washed using ultrapure water. The washed macroporous adsorption resin is then packed into a chromatography column.

[0099] S4033. Using a peristaltic pump, the filtered water sample is continuously injected into the chromatography column according to the preset pump flow rate and sampling volume.

[0100] S4034. In response to the continuous injection of filtered water samples into the chromatography column, the total organic carbon content of the filtered water samples after injection into the chromatography column is determined, and the proportion of hydrophobic organic components in the sample to be tested is calculated.

[0101] In this embodiment, the proportion of hydrophilic and hydrophobic components of organic matter and the membrane fouling potential are calculated based on the standard curve.

[0102] The specific steps for establishing a standard curve are as follows:

[0103] Multiple samples were taken from the sample to be tested to obtain water samples. The collected water samples were then processed through... A filter membrane is used to remove impurities and suspended solids, resulting in a filtered water sample.

[0104] To analyze the proportion of hydrophobic organic components and membrane fouling potential of the sample, the following steps were performed:

[0105] The proportion of hydrophobic organic components in the sample to be tested was determined using the following method:

[0106] XAD-8 was activated with cyclohexane and methanol, then washed with ultrapure water, and 10 mL of the cleaned XAD-8 resin was packed into a chromatography column.

[0107] The filtered water sample was continuously injected into the chromatography column using a peristaltic pump at a flow rate of 3 mL / min and a sample loading volume of 1 L.

[0108] The total organic carbon content of the filtered water sample after passing through XAD-8 resin was determined, and the proportion of hydrophobic organic components in the sample was calculated by combining the total organic carbon content of the sample to be tested.

[0109] The expression for calculating the proportion of hydrophobic organic components in the sample to be tested is as follows:

[0110] ;

[0111] in, Indicates the proportion of hydrophobic components in organic matter. This indicates the total organic carbon content of the sample being tested. This indicates the total organic carbon content of the filtered water sample after injection into the chromatography column, i.e., the total organic carbon content after passing through the XAD-8 resin.

[0112] S4035. Based on the specific fouling rate, the specific membrane fouling rate is calculated.

[0113] S4036. Based on the differential spectral index, the proportion of hydrophobic organic components in the sample to be tested, and the specific membrane fouling rate, a standard curve is obtained by establishing the relationship curve between the differential spectral index and the proportion of hydrophobic components and the specific membrane fouling rate using linear regression.

[0114] In this embodiment, the membrane fouling potential of the sample is expressed as the specific membrane fouling rate. Based on the specific fouling rate, the specific membrane fouling rate is calculated. SFR refers to the rate of increase in membrane resistance per unit area per unit time due to a unit mass of contaminants. Specific fouling rate is a common indicator. The values ​​of filtration pressure, specific permeate volume, filtration flux and other indicators during the membrane filtration process are measured using a dead-end filtration ultrafiltration cup.

[0115] The formula for calculating the specific pollution rate is as follows:

[0116] ;

[0117] ;

[0118] in, Indicates the pollution rate. This indicates the total organic carbon content of the sample being tested. Indicates the pollution rate, Indicates the change in membrane resistance. Indicates specific osmotic volume. Indicates filtration pressure. Indicates the permeation viscosity. Indicates filtration flux;

[0119] Based on the differential spectral index, the proportion of hydrophobic organic components in the sample to be tested, and the specific membrane fouling rate, a standard curve was obtained by using linear regression to establish the relationship curve between the differential spectral index and the proportion of hydrophobic components and the specific membrane fouling rate.

[0120] The expressions for the differential spectral indices, the proportion of hydrophobic components, and the specific membrane fouling rate are shown below:

[0121] ;

[0122] ;

[0123] in, This indicates the predicted percentage of hydrophobic components. This indicates the predicted membrane fouling rate. The squared correlation coefficient is used to assess how well the standard curve regression equation fits the actual data. , , as well as All represent the coefficients of the fitted curve, obtained based on linear correlation fitting; according to Substituting the numerical values ​​into the above relational expression yields the predicted proportion of hydrophobic components and the specific membrane fouling rate of the water sample to be tested.

[0124] S404. The proportion of hydrophilic and hydrophobic components of organic matter and the membrane fouling potential are calculated based on the standard curve.

[0125] In this embodiment, the proportion of hydrophilic and hydrophobic components of dissolved organic matter and the membrane fouling potential in the secondary effluent are calculated based on the standard curve.

[0126] To verify the applicability of the method of this invention to samples from different sources, the relationship between the hydrophilicity / hydrophobicity of samples from different sources and the spectral indices of this method was examined, such as... Figure 5 The predicted percentage of hydrophobic components in dissolved organic matter in water samples from different sources is shown.

[0127] like Figure 6 The relationship between the actual and predicted hydrophobic component proportions is shown in the diagram. MBR effluent is the effluent from the membrane bioreactor; multi-point influent A / O effluent is the effluent from a multi-point influent anoxic or aerobic biological treatment system; SBR1 effluent is the effluent from the No. 1 sequencing batch activated sludge reactor; SBR2 effluent is the effluent from the No. 2 sequencing batch activated sludge reactor; and short-cut denitrification SBR effluent is the effluent from the short-cut denitrification sequencing batch activated sludge reactor. According to the diagram, the method of this invention has good applicability in predicting the hydrophobicity of dissolved organic matter in actual multi-source water samples.

[0128] In this embodiment, the relationship between the predicted membrane fouling rate and the actual membrane fouling rate of dissolved organic matter in water samples from different sources is shown, for example... Figure 7As shown, this method has good applicability in predicting membrane fouling in actual multi-source water samples.

Claims

1. A method for predicting the hydrophilicity / hydrophobicity and membrane fouling potential of organic matter based on differential spectroscopy, characterized in that, Includes the following steps: S1. Obtain the sample to be tested and filter it. Place the filtered sample to be tested into the sample cell, select the predicted water sample and perform a full spectral scan to obtain the ultraviolet-visible reference spectrum of the predicted water sample, and titrate the predicted water sample with the titration solution to obtain the titrated water sample. S2. Perform a full UV-Vis scan on the titration water sample according to the preset wavelength range to obtain the predicted UV-Vis titration spectrum of the water sample and perform correction to obtain the corrected UV-Vis titration spectrum. S3. The corrected UV-Vis titration spectrum and the predicted UV-Vis reference spectrum of the water sample are standardized, and the difference spectrum is obtained by calculation. S4. Normalize the differential spectrum for total organic carbon, perform Gaussian peak separation on the normalized differential spectrum to obtain a predetermined number of Gaussian bands, establish a standard curve by calculating the Gaussian band ratio, and calculate the proportion of hydrophobic organic components and membrane fouling potential based on the standard curve. Specifically: S401. Normalize the differential spectrum to total organic carbon, and perform Gaussian peak division on the normalized differential spectrum to obtain the first Gaussian band, the second Gaussian band, the third Gaussian band, the fourth Gaussian band, and the fifth Gaussian band. S402. By calculating the ratio of the fourth Gaussian band to the second Gaussian band, the differential spectral index is obtained. S403. Set up the chromatography column and establish a standard curve based on the differential spectral parameters, specifically as follows: S4031. Sample the sample to be tested multiple times to obtain a water sample, and then pass the water sample through a preset filter membrane to obtain a filtered water sample. S4032. The macroporous adsorption resin is activated using cyclohexane and methanol, and the activated macroporous adsorption resin is washed using ultrapure water. The washed macroporous adsorption resin is then packed into a chromatography column. S4033. Using a peristaltic pump, the filtered water sample is continuously injected into the chromatography column according to the preset pump flow rate and sampling volume. S4034. In response to the continuous injection of filtered water samples into the chromatography column, the total organic carbon content of the filtered water samples after injection into the chromatography column is determined, and the proportion of hydrophobic organic components in the sample to be tested is calculated. S4035. Based on the specific fouling rate, the specific membrane fouling rate is calculated. S4036. Based on the differential spectral index, the proportion of hydrophobic organic components in the sample to be tested, and the specific membrane fouling rate, a standard curve is obtained by establishing the relationship curve between the differential spectral index and the proportion of hydrophobic components and the specific membrane fouling rate using linear regression. S404. The proportion of hydrophobic organic components and membrane fouling potential are calculated based on the standard curve. The membrane fouling potential is measured using a specific membrane fouling rate. The formula for calculating the specific pollution rate is as follows: in, Indicates the pollution rate. This indicates the total organic carbon content of the sample being tested. Indicates the pollution rate, Indicates the change in membrane resistance. Indicates specific osmotic volume. Indicates filtration pressure. Indicates the permeation viscosity. This indicates the filtration flux.

2. The method for predicting the hydrophilicity / hydrophobicity and membrane fouling potential of organic matter based on differential spectroscopy according to claim 1, characterized in that, S1 includes the following steps: S101. Based on the secondary effluent from the wastewater treatment plant, obtain the sample to be tested, remove impurities and suspended solids from the sample to obtain the filtered sample to be tested. S102. Place the filtered sample to be tested into the reference sample cell of the UV-Vis spectrophotometer. S103. Based on the sample cell, select the predicted water sample and perform a full spectral scan of the predicted water sample according to the preset wavelength range to obtain the ultraviolet-visible reference spectrum of the predicted water sample. S104. Titrate the predicted water sample with perchlorate solution to obtain a titrated water sample of the preset concentration.

3. The method for predicting the hydrophilicity / hydrophobicity and membrane fouling potential of organic matter based on differential spectroscopy according to claim 1, characterized in that, S2 includes the following steps: S201. Perform a full UV-Vis scan on the titration water sample according to the preset wavelength range to obtain the predicted UV-Vis titration spectrum of the water sample. S202. Based on the titration solution and the UV-Vis titration spectrum of the titration solution, the predicted UV-Vis titration spectrum of the water sample is corrected to obtain the corrected UV-Vis titration spectrum.

4. The method for predicting the hydrophilicity / hydrophobicity and membrane fouling potential of organic matter based on differential spectroscopy according to claim 3, characterized in that, The expression for the UV-Vis titration spectrum of the corrected predicted water sample is as follows: in, This indicates the corrected UV-Vis titration spectrum. This indicates the predicted UV-Vis titration spectrum of the water sample. This indicates the ultraviolet-visible titration spectrum of the titrated solution. This indicates the volume of the water sample titrated. This indicates the volume of solution consumed in the titration. This indicates the predicted volume of the water sample before titration.

5. The method for predicting the hydrophilicity / hydrophobicity and membrane fouling potential of organic matter based on differential spectroscopy according to claim 1, characterized in that, The first Gaussian band has specific parameters of 6.11 electron volts and 203 nanometers. The second Gaussian band has specific parameters of 5.59 electron volts and 222 nanometers. The third Gaussian band has the following parameters: 4.89 electron volts and 254 nanometers. The fourth Gaussian band has specific parameters of 4.48 electron volts and 277 nanometers. The fifth Gaussian band has specific parameters of 3.29 electron volts and 377 nanometers.

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