诃子小波变换红外光谱的聚类分析鉴别  

Clustering analysis of infrared spectroscopy of Terminalia chebula by wavelet transform

作　　者：安生梅[1] 吴启勋[1] 吉守祥[1] 

机构地区：[1]青海民族大学化学与生命科学学院,青海西宁810007

出　　处：《华西药学杂志》2015年第5期575-578,共4页West China Journal of Pharmaceutical Sciences

基　　金：国家自然科学基金资助项目(批准号:81160554)

摘　　要：目的通过实验获取30个不同产地诃子的红外光谱。方法用化学计量方法预处理诃子的红外光谱信息,再建立主成分分析与聚类分析模型。结果所建模型合理地实现了不同产地诃子的迅速鉴别。结论红外光谱结合化学计量法是一种快速、无损地评价诃子的有效方法,可为研究其他植物药提供科学依据和理论基础。OBJECTIVE To obtain 30 kinds of Terminalia chebula Retz＇ infrared spectrum from different regions by Infrared spec- trum experiment. METHODS Infrared spectrum messages of T. chebula were preprocessed by chemometric preprocessing methods. Then principal component analysis and clustering analysis model were estabhshed by chemometric method. RESULTS The estab- lished models achieved rapid identification of T. chebula from different regions. CONCLUSION Chemometrics method and infrared spectroscopy provide an effective way to classify T. chebula rapidly and undamagedly. This way provides the scientific basis and theoret- ical basis for studying other Chinese medicine.

关 键 词：诃子 红外光谱 小波变换 主成分分析 聚类分析 化学计量法 

分 类 号：R917[医药卫生—药物分析学]