Research on Correction Method of Water Quality Ultraviolet-Visible Spectrum Data Based on Compressed Sensing

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2021-07-02 DOI:10.1155/2021/6650630

Fengxiao Li, Bin Tang, Mingfu Zhao, Xinyu Hu, Sheng-hui Shi, Mi Zhou

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引用次数: 4

Abstract

The turbidity interference caused by suspended particles in water seriously affects the accuracy of ultraviolet-visible spectroscopy in detecting water quality chemical oxygen demand. Based on this, the application of ultraviolet-visible spectroscopy to detect water quality chemical oxygen demand usually requires physical and mathematical methods to correct the spectral baseline interference caused by turbidity. Because of the slow response speed and unstable compensation effect of traditional correction methods, this paper proposes to use a compressed sensing algorithm to perform baseline correction and achieve good results. In the experiment, we selected formazin turbidity solution and sodium oxalate standard solution and carried out the research on the algorithm of turbidity correction for detecting chemical oxygen demand of water quality by ultraviolet-visible spectroscopy. The experiment obtains the absorption spectra of different concentrations of formazine turbidity solutions and the same concentration of sodium oxalate with different turbidity standard solutions at 210∼845 nm and analyzes the nonlinear effect of absorbance on turbidity. This article uses standard solution experiments to explore the compressed sensing theory for turbidity correction, and through the correction of the absorption spectrum of the actual water sample, it verifies the feasibility of the compression theory for turbidity correction. The method effectively corrects the baseline shift or drift of the water quality ultraviolet-visible absorption spectrum caused by suspended particles, while retaining the absorption characteristics of the ultraviolet spectrum, and it can effectively improve the accuracy and accuracy of the ultraviolet-visible spectroscopy water quality chemical oxygen demand detection.

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基于压缩感知的水质紫外可见光谱数据校正方法研究

水中悬浮粒子引起的浊度干扰严重影响了紫外可见光谱法检测水质化学需氧量的准确性。基于此，应用紫外可见光谱法检测水质化学需氧量通常需要物理和数学方法对浑浊度引起的光谱基线干扰进行校正。针对传统校正方法响应速度慢、补偿效果不稳定的问题，本文提出采用压缩感知算法进行基线校正，取得了较好的效果。在实验中，我们选取了甲肼浊度溶液和草酸钠标准溶液，对紫外可见光谱法检测水质化学需氧量的浊度校正算法进行了研究。实验获得了不同浓度的甲醛浊度溶液和相同浓度的草酸钠与不同浊度标准溶液在210 ~ 845 nm的吸收光谱，并分析了吸光度对浊度的非线性影响。本文采用标准溶液实验探索压缩感知理论用于浊度校正，并通过对实际水样的吸收光谱进行校正，验证了压缩感知理论用于浊度校正的可行性。该方法有效地纠正了悬浮颗粒引起的水质紫外可见吸收光谱的基线偏移或漂移，同时保留了紫外光谱的吸收特性，可以有效地提高紫外可见光谱水质化学需氧量检测的准确度和准确度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.