水质COD的激光诱导荧光检测方法研究  

Study on laser-induced fluorescence detection method of water quality COD

作　　者：郑培超[1] 杨晨 张航熙 王金梅[1] 何适 尹义同 张莉 ZHENG Peichao;YANG Chen;ZHANG Hangxi;WANG Jinmei;HE Shi;YIN Yitong;ZHANG Li(School of Optoelectronics Engineering,Chongqing Unwersity of Posts and Telecommunications,Chongqing 400065,China)

机构地区：[1]重庆邮电大学光电工程学院,重庆400065

出　　处：《激光杂志》2022年第8期55-59,共5页Laser Journal

基　　金：国家自然科学基金(No.61805030,32171627);重庆市自然科学基金(No.cstc2020jcyj-msxmX0147);重庆市教委科技项目(No.KJQN202000640)。

摘　　要：化学需氧量(Chemical Oxygen Demand,COD)是评价水体受有机物污染程度的重要指标。提出了一种基于激光诱导荧光光谱的水质COD分析方法。以单波长半导体激光器(波长为405 nm)作为激发光源,采用便携式光纤光谱仪收集发射的荧光光谱。通过主成分分析(PCA)和偏最小二乘(PLS)分别对光谱进行数据降维以及回归建模。结果表明,当主成分个数为17时得到的测试集均方根误差最小,此时测试集决定系数为0.9628,均方根误差(RMSE)为0.1582 mg/L。并且本模型对预测集水样的COD预测误差均小于20%,说明建立的测量模型有较高的预测精度,满足国内水质检测行业的精度要求。Chemical Oxygen Demand(COD)is an important indicator to evaluate the degree of organic pollution of water.This paper proposes a water quality COD analysis method based on laser-induced fluorescence spectra.A single-wavelength semiconductor laser(wavelength of 405 nm)was used as the excitation light source and a portable fiber optic spectrometer was used to collect the emitted fluorescence spectra.PCA and PLS algorithms are used for data dimensionality reduction and model building,respectively.The result shows that the root mean square error of the test set is the smallest when the number of principal components is 17,at which time the coefficient of determination of the test set is 0.9628 and the root mean square error(RMSE)is 0.1582 mg/L.The COD prediction errors of this model for the test set are less than 20%,indicating that the measurement model established in this paper has a high prediction accuracy,which meets the requirements of the domestic water quality detection industry.

关 键 词：水质检测 化学需氧量 荧光光谱 偏最小二乘 

分 类 号：TN209[电子电信—物理电子学]