基于近红外光谱技术不同产地肉桂子模型的建立  

Establishment of a cinnamon habitat model based on near infrared spectroscopy

作　　者：熊陈诚 李莉[1] 王婷媛[1] 

机构地区：[1]新疆医科大学药学院,乌鲁木齐830011

出　　处：《西北药学杂志》2016年第3期221-225,共5页Northwest Pharmaceutical Journal

基　　金：国家自然科学基金项目(编号:81260485)

摘　　要：目的采用近红外光谱技术结合化学计量学方法建立肉桂子药材的定性模型,达到快速鉴别不同产地肉桂子的目的。方法采用近红外漫反射光纤光谱结合SIMCA、主成分分析法、聚类分析等方法识别不同产地的肉桂子。结果对肉桂子药材原始光谱全波长进行主成分分析,前2个主成分累积方差贡献率为99%,很好地解释了原始光谱99%的信息,和田、喀什、伊宁和乌鲁木齐4个产地聚类效果较好,广西与越南2个产地部分样本出现混淆现象,基本可以区分6个产地样品;采用聚类分析法建立的肉桂子模型对样品进行预测时,正确率为100%;SIMCA法建立的模型对样品进行预测时,只有越南1个产地的样品没有被识别,总识别率为97.22%。结论近红外漫反射光谱技术结合化学计量学方法可以初步实现肉桂子药材的产地鉴别。Objective Near infrared spectroscopy with chemometrics was used to establish a qualitative identification model for Fructus Cinnamomi cassiae immaturi,by which the rapid identification of different origin Fructus Cinnamomi cassiae immaturi could be achieved.Methods Near infrared diffuse reflection spectroscopy with principal component analysis,clustering analysis and SIMCA methods were used to identify the different origins of Fructus Cinnamomi cassiae immaturi.Results The principal component analysis of the original full wavelength spectrum screened out two principal components′whose cumulative variance proportion was 99%,which explained the clusters effect of Hotan,Kashgar,Yining and Urumqi was better than other habitat.Some samples of Guangxi and Vietnam were confused,and six origin samples could be distinguished.The accuracy of the model to forecast samples was 100%;Using SIMCA method to predict the samples,only Vietnam sample was not identified,the identification accuracy was 97.22%.Conclusion Near infrared diffuse reflectance spectroscopy combined with chemometrics could identify the origin of Fructus Cinnamomi cassiae immaturi quickly.

关 键 词：肉桂子 近红外光谱技术 快速检验 化学计量学 

分 类 号：R917[医药卫生—药物分析学]