摘要
油类污染物是危害生态环境的主要因素之一,混合油类污染物的精确识别与测量对于环境监测具有重要意义。针对混合油类污染物光谱组分严重重叠,难以采用化学方法进行分辨的问题,研究采用三维荧光光谱技术结合交替残差三线性化(alternating residuals trilinearization,ART)算法检测油类污染物。ART算法是对平行因子的改进,无需预先设定因子数。搭建三维荧光光谱检测系统,研究0#柴油、97#汽油和煤油的三维荧光光谱特征。配置30组0#柴油、97#汽油和煤油的SDS胶束溶液,采用ART算法对混合油类污染物散射消除后的三维荧光光谱数据进行解析,实验结果表明ART算法对0#柴油、97#汽油和煤油的平均回收率分别为103.6%、97.32%和99.86%,解析得到的3种成分光谱与真实光谱吻合度较高,定性和定量分析均表明,三维荧光光谱结合ART算法是一种有效的成品油污染物检测方法。
Oil pollutants are one of the main factors that endanger the ecological environment.The accurate identification and measurement of mixed oil pollutants is of great significance for environmental monitoring.In view of the serious overlap of spectral components of mixed oil pollutants,it is difficult to distinguish them by chemical methods.In this study,three-dimensional fluorescence spectrum combined with alternating residuals trilinearization(ART)algorithm is adopted to detect oil pollutants.ART algorithm is an improvement of parallel factor algorithm without presetting factor number.A three-dimensional fluorescence spectrum detection system was built to study the three-dimensional fluorescence spectrum characteristics of 0#diesel oil,97#gasoline and kerosene.30 groups of SDS micelle solutions of 0#diesel oil,97#gasoline and kerosene were configured,and three-dimensional fluorescence spectral data were obtained.The three-dimensional fluorescence spectrum data of mixed oil pollutants after scattering elimination were analyzed by ART algorithm.The experimental results show that the ART algorithm is effective for 0#diesel,97#gasoline and kerosene.The average recovery rates of gasoline and kerosene are 103.6%,97.32%,and 99.86%,respectively.The spectra of the three components obtained by ART algorithm are in good agreement with the real spectrum.Both qualitative and quantitative analysis show that the three-dimensional fluorescence spectrum combined with ART algorithm is an effective method for the detection of oil pollutants.
作者
程朋飞
朱燕萍
潘金燕
王福斌
陈至坤
王玉田
Cheng Pengfei;Zhu Yanping;Pan Jinyan;Wang Fubin;Chen Zhikun;Wang Yutian(College of Electrical Engineering,North China University of Science and Technology,Tangshan 063210,China;Measurement Technology and Instrument Key Lab of Hebei Province,Yanshan University,Qinhuangdao 066004,China)
出处
《电子测量与仪器学报》
CSCD
北大核心
2022年第1期62-69,共8页
Journal of Electronic Measurement and Instrumentation
基金
国家自然科学基金项目(61803154)
河北省自然基金项目(F2019209323,F2019209443)
河北省研究生示范课程建设项目(KCJSX2021061)
河北省高校基本科研业务费项目(JQN2021020)资助
关键词
交替残差三线性
三维荧光光谱
油类污染物
二阶校正
检测
ART
three-dimensional fluorescence spectrum
oil pollutants
second-order calibration
detection
作者简介
程朋飞,2017年于燕山大学获得博士学位,现为华北理工大学讲师,主要研究方向为荧光光谱检测技术和光电检测与图像处理技术。E-mail:chengpengfei@ncst.edu.cn;朱燕萍,2020年于临沂大学获得学士学位,现为华北理工大学硕士研究生,主要研究方向为荧光光谱检测技术和光电检测与图像处理技术。E-mail:YanpingZhu2021@163.com;通信作者:潘金燕,分别在2011年和2014年于燕山大学获得学士学位和硕士学位,现为华北理工大学讲师,主要研究方向为荧光光谱检测技术和光电检测与图像处理技术。E-mail:panjinyan@ncst.edu.cn;王福斌,2012年于东北大学获得博士学位,2016年5月至2017年5月加拿大卡尔加里大学激光系统实验室,访问学者。现为华北理工大学副教授,硕士生导师,主要研究方向为荧光光谱检测技术和光电检测与图像处理技术。E-mail:wfb2313@126.com
