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多成分有机气体的近红外光谱定量检测方法
引用本文:齐汝宾,尹新,杨立,杜振辉,刘瑾,徐可欣. 多成分有机气体的近红外光谱定量检测方法[J]. 光谱学与光谱分析, 2008, 28(12): 2855-2858. DOI: 10.3964/j.issn.1000-0593(2008)12-2855-04
作者姓名:齐汝宾  尹新  杨立  杜振辉  刘瑾  徐可欣
作者单位:天津大学精密测试技术及仪器国家重点实验室,天津,300072;天津大学精密测试技术及仪器国家重点实验室,天津,300072;天津大学精密测试技术及仪器国家重点实验室,天津,300072;天津大学精密测试技术及仪器国家重点实验室,天津,300072;天津大学精密测试技术及仪器国家重点实验室,天津,300072;天津大学精密测试技术及仪器国家重点实验室,天津,300072
基金项目:国家高技术研究发展计划(863计划),天津市自然科学基金 
摘    要:在环境检测领域,运用近红外光谱分析技术对多成分挥发性有机物进行连续的在线监测具有重要意义。本文分析了三种挥发性有机物——丙烷、丙烯和甲苯的近红外光谱特征和丙烯浓度与吸光度的线性关系,采用线性回归建模方法——偏最小二乘法对丙烷、丙烯和甲苯混合气体存在特征吸收的近红外光谱(1 620~1 750 nm)进行了建模分析,基于该模型预测了验证集样品中三种气体的含量,并对模型进行了评价。实验结果表明,近红外光谱技术可以方便、准确的定量分析有机性挥发气体的多组分含量,可以应用于多成分挥发性有机物的连续在线监测。

关 键 词:近红外光谱  挥发性有机物  偏最小二乘法
收稿时间:2007-05-10

Application of NIR Spectroscopy to Multiple Gas Components Identification
QI Ru-bin,YIN Xin,YANG Li,DU Zhen-hui,LIU Jin,XU Ke-xin. Application of NIR Spectroscopy to Multiple Gas Components Identification[J]. Spectroscopy and Spectral Analysis, 2008, 28(12): 2855-2858. DOI: 10.3964/j.issn.1000-0593(2008)12-2855-04
Authors:QI Ru-bin  YIN Xin  YANG Li  DU Zhen-hui  LIU Jin  XU Ke-xin
Affiliation:State Key Lab of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
Abstract:Multiple gas components monitoring in situ by near infrared(NIR) spectroscopy is of great significance in the environmental monitoring.In the present paper,the apectral characteristics of the three types of the volatile organic compounds(VOCs)-propane,propylene and methylbenzene were analyzed,the linear relationship of propylene between concentration and absorbance was considered,and the NIR spectra from 1 620 to 1 750 nm including the characteristic absorption of the three VOCs were acquired,A linear regression model of chemical metrology was created by partial least-squares method and it predicted the concentration of propane and isobutene in the validation set.The results of the experiment indicated that NIR spectroscopy could easily,accurately and quantitatively determine the content of the multiple gas components,and can be used for monitoring the multiple components of the VOCs in situ.
Keywords:Near infrared spectroscopy  Volatile organic compounds  Partial least-squares method
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