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Rapid identification and quantitative analysis method for water pollution based on three-dimensional fluorescence spectrum

A three-dimensional fluorescence and quantitative analysis technology, applied in the field of spectral analysis, can solve the problems of inaccurate data, slow identification of water pollution, etc., and achieve the effect of good reference value, rapid and simple measurement, and high sensitivity

Inactive Publication Date: 2016-02-24
CHANGZHOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem mainly solved by the present invention: For the current three-dimensional fluorescence spectrum, for high-concentration water bodies, such as untreated domestic effluent, it needs to be diluted before the fluorescence measurement to reduce the influence of the inner filter effect on the fluorescence intensity, and the identification speed of water pollution is slow , the problem of inaccurate data, a method for rapid identification and quantitative analysis of water pollution based on three-dimensional fluorescence spectrum is provided. Obtain the liquid to be tested, set parameters, take data and perform quantitative analysis. The present invention is quick and easy to measure and has high sensitivity. It can be used for qualitative analysis and quantitative evaluation of sewage treatment effects, and better guide the design, operation, management and control, and has a good reference value for water quality monitoring

Method used

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Examples

Experimental program
Comparison scheme
Effect test

example 1

[0018] First, before processing the three-dimensional fluorescence spectrum data, it needs to be converted into an ASCIITextFile data grid. According to the measurement range, each three-dimensional spectrum consists of a different number of column vector tables, and 50 three-dimensional fluorescence spectrum samples of four different polluted waters are measured. Save as a 60×1449 two-dimensional matrix; use Matlab software, according to the range of excitation wavelength: 250-360nm, and the range of emission wavelength difference: 280-560nm, the three-dimensional fluorescence spectra of various water pollution samples in different environments and their fingerprint map.

[0019] Quantitative analysis is:

[0020] For the preparation of styrene refining solution, accurately measure 15 mL of styrene, add 10 mL of ethanol to dissolve, and shake slowly for 10 minutes. After it is fully mixed, add distilled water to prepare a 3 mg / L styrene stock solution. From 3 mg / L Pipette 0....

example 2

[0023] First of all, before processing the three-dimensional fluorescence spectrum data, it needs to be converted into an ASCIITextFile data grid. According to the measurement range, each three-dimensional spectrum consists of a column vector table with different numbers, and 50 three-dimensional fluorescence spectrum samples of four different polluted waters are measured. Transfer to a 60×1449 two-dimensional matrix; use Matlab software, according to the excitation wavelength range: 250-360nm, emission wavelength difference range: 280-560nm, get the three-dimensional fluorescence spectrum and its fingerprint map.

[0024] Quantitative analysis is:

[0025] For the preparation of styrene refining solution, accurately measure 21mL of styrene, add 13mL of ethanol to dissolve, and shake slowly for 15min. After it is fully mixed, add distilled water to prepare a 3mg / L styrene stock solution. Pipette 0.1mL, 0.2mL, 0.3mL, 0.4mL, 0.5mL, and 1mL of the solution into a 50mL volumetric...

example 3

[0028] First of all, before processing the three-dimensional fluorescence spectrum data, it needs to be converted into an ASCIITextFile data grid. According to the measurement range, each three-dimensional spectrum consists of a column vector table with different numbers, and 50 three-dimensional fluorescence spectrum samples of four different polluted waters are measured. Transfer to a 60×1449 two-dimensional matrix; use Matlab software, according to the excitation wavelength range: 250-360nm, emission wavelength difference range: 280-560nm, get the three-dimensional fluorescence spectrum and its fingerprint map.

[0029] Quantitative analysis is:

[0030] For the preparation of styrene refining solution, accurately measure 30 mL of styrene, add 15 mL of ethanol to dissolve, and shake slowly for 20 minutes. After it is fully mixed, add distilled water to prepare a 3 mg / L styrene stock solution. From 3 mg / L Pipette 0.1mL, 0.2mL, 0.3mL, 0.4mL, 0.5mL, and 1mL of the solution in...

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Abstract

The invention discloses a rapid identification and quantitative analysis method for water pollution based on three-dimensional fluorescence spectrum, and belongs to the field of spectral analysis. The method comprises firstly arranging three-dimensional fluorescence spectrum parameters, performing rapid identification on polluted water and analyzing compositions in the polluted water, then preparing a to-be-detected liquid, arranging parameters, acquiring data and performing quantitative analysis. The method is rapid and simple for determination and high in sensitivity, is applicable to qualitative analysis and quantitative evaluation on sewage processing effects, helps to relatively well guide design, operation, management and control of a sewage processing technology, and also possesses extremely good reference value on water quality monitoring.

Description

technical field [0001] The invention discloses a method for fast identification and quantitative analysis of water pollution based on three-dimensional fluorescence spectrum, which belongs to the field of spectrum analysis. Background technique [0002] Different fluorescent substances or fluorescent groups have specific excitation and emission maximum wavelengths, and the existence of fluorescent substances or fluorescent groups can be determined according to the positions of the excitation and emission maximum wavelengths, thereby realizing qualitative analysis of fluorescent substances. Fluorescent groups such as aromatic rings and unsaturated fatty chains in DOM are the structural basis for molecular labor. Different DOM components contain different labor photogroups, and their fluorescence characteristics contain information related to structure, functional group, configuration, heterogeneity, intramolecular and intermolecular dynamic characteristics, etc. Therefore, d...

Claims

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Application Information

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IPC IPC(8): G01N21/64
CPCG01N21/64G01N2021/6417
Inventor 郭迎庆杜尔登彭明国
Owner CHANGZHOU UNIV
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