基于近红外与拉曼光谱的甲醇汽油定量分析  

On Quantitative Analysis of Methanol Content in Methanol Gasoline by Near Infrared and Raman Spectroscopy

作　　者：欧阳爱国[1] 刘军[1] 

机构地区：[1]华东交通大学机电工程学院,南昌330013

出　　处：《西南师范大学学报（自然科学版）》2012年第9期98-101,共4页Journal of Southwest China Normal University(Natural Science Edition)

基　　金：华东交通大学研究生创新专项资金项目(YC2011-X006)

摘　　要：利用近红外和拉曼光谱法定量分析了甲醇汽油中甲醇的含量,采用偏最小二乘法(partial least squares,PLS)建立甲醇的定量模型.近红外光谱法测定甲醇定量模型的预测集相关系数RP为0.998,预测均方根误差(RMSEP)为0.289%;拉曼光谱法测定甲醇定量模型的预测集相关系数RP为0.982,预测均方根误差(RMSEP)为1.141%.实验表明,近红外与拉曼光谱技术均可用于甲醇汽油中甲醇含量的快速检测.Near infrared （NIR） and Raman have been applied to determine methanol content of methanol gasoline. Quantitative analysis models of methanol have been established in Partial Least Squares （PLS） method. The quantitative model has been obtained with the correlation coefficients （Rp） of 0. 998 and the root mean square error of prediction （RMSEP） of 0. 289% for methanol by near infrared spectroscopy; the model has been obtained with the correlation coefficients （Rp） of 0. 982 and the root mean square error of prediction （RMSEP） of 1. 141% for methanol by Raman Spectroscopy. The results show that this PLS model based on near Infrared and Raman Spectroscopy can be used for rapid detection methanol content in methanol gasoline.

关 键 词：近红外 拉曼光谱 甲醇汽油 定量分析 

分 类 号：TQ015.9[化学工程] TP391.9[自动化与计算机技术—计算机应用技术]