中国中药杂志

2014, v.39(23) 4603-4607

[打印本页] [关闭]
本期目录(Current Issue) | 过刊浏览(Past Issue) | 高级检索(Advanced Search)

基于近红外光谱主成分分析-马氏距离法的发汗与未发汗续断的快速鉴别
Rapid identification of crude and sweated Dipsaci Radix based on near-infrared spectroscopy combined with principal component analysis-Mahalanobis distance

杜伟锋;贾永强;姜东京;张浩;
DU Wei-feng;JIA Yong-qiang;JIANG Dong-jing;ZHANG Hao;Research Center of Traditional Chinese Medicine Processing Technology,Zhejiang Chinese Medical University;Beijing Union Pharmaceutical Factory,Institute of Materia Medica,Chinese Academy of Medical Sciences&Peking Union Medical College;

摘要(Abstract):

为了快速准确的鉴别续断发汗与否,以续断发汗和未发汗样品为实验材料,采用近红外光谱法结合主成分分析-马氏距离判别分析方法建立了定性鉴别模型。选取了129个未发汗样品和86个发汗样品的近红外光谱图,应用主成分分析-马氏距离法进行判别分析,选择谱段为9 881.46~4 119.20 cm-1,采用"标准正则变换+原始光谱+二阶求导"组合对原始光谱进行预处理,主成分数为14,建立定性鉴别模型;并经预测集验证,鉴别准确率达到100%。说明近红外光谱结合模式识别方法进行续断"发汗"与否定性鉴别在技术上是可行的,可以作为续断产地加工"发汗"定性鉴别的一种辅助手段。
In order to discriminate the crude and sweated Dipsaci Radix correctly and rapidly,the crude and sweated Dipsaci Radix were scanned by the NIR spectrometer,and an identifying model was developed by near infrared spectroscopy combined with principal component-Mahalanobis distance pattern recognition method. The pretreated spectra data of 129 crude samples and 86 sweated ones were analyzed through principal component analysis( PCA). The identifying model was developed by choosing the spectrum for9 881. 46-4 119. 20 cm- 1and ″SNV + spectrum + S-G″ to the original spectral preprocessing with 14 principal components,and then was verified by prediction set,identifying with 100% accuracy. The rapid identification model of the crude and sweated Dipsaci Radix by NIR is feasible and efficient,and could be used as an assistant means for identifying the crude and sweated Dipsaci Radix.

关键词(KeyWords): 近红外光谱;续断;发汗;主成分分析;马氏距离;判别分析
near-infrared spectroscopy(NIR);Dipsaci Radix;sweated;principal component analysis(PCA);Mahalanobis distance;discriminant analysis

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金青年基金项目(81303224)

作者(Author): 杜伟锋;贾永强;姜东京;张浩;
DU Wei-feng;JIA Yong-qiang;JIANG Dong-jing;ZHANG Hao;Research Center of Traditional Chinese Medicine Processing Technology,Zhejiang Chinese Medical University;Beijing Union Pharmaceutical Factory,Institute of Materia Medica,Chinese Academy of Medical Sciences&Peking Union Medical College;

Email:

DOI:

参考文献(References):

扩展功能
本文信息
服务与反馈
本文关键词相关文章
本文作者相关文章
中国知网
分享