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.
出处
《西南师范大学学报（自然科学版）》
CAS
CSCD
北大核心
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)
关键词
近红外
拉曼光谱
甲醇汽油
定量分析
Near infrared Spectroscopy
Raman Spectroscopy
Methanol gasoline
Quantitative analysis
