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Discrimination and feature selection of geographic origins of traditional Chinese medicine herbs with NIR spectroscopy
引用本文:LIUShuhua ZHANGXuegong SUNSuqin. Discrimination and feature selection of geographic origins of traditional Chinese medicine herbs with NIR spectroscopy[J]. 科学通报(英文版), 2005, 50(2): 179-184. DOI: 10.1007/BF02897523
作者姓名:LIUShuhua ZHANGXuegong SUNSuqin
作者单位:[1]DepartmentofAutomation/MOEKeyLaboratoryofBioinformatics,TsinghuaUniversity,Beijing100084,China [2]Departmentofchemistry,TsinghuaUniversity,Beijing100084,China
摘    要:
With the traditional Chinese medicine herbs angelicae dahuricae radix (ADR or Baizhi) and salviae miltiorrhizae radix (SMR or Danshen) as two examples, this work studies the automatic discrimination of the geographic origins of the herbs using near infrared (NIR) reflectance spectroscopy. Multi-class support vector machine (SVM) is utilized for the purpose, and recursive SVM is utilized to select the feature spectral segments that are decisive for the discrimination. With only 5 and 8 short spectral segments, discriminative accuracies of 92% are achieved on independent test sample sets. This work not only provides a prototype of accurate rapid discriminating systems for quality control of herbal medicines, but also opens new possibilities in studying subtle differences in the chemical compositions of herbs from different cultivation conditions and investigating their associations with the effectiveness of the herbs.

关 键 词:特征选择 特征识别 中草药 近红外线光谱学分析 识别模式 支持向量机
收稿时间:2004-06-22

Discrimination and feature selection of geographic origins of traditional Chinese medicine herbs with NIR spectroscopy
Shuhua Liu,Xuegong Zhang,Suqin Sun. Discrimination and feature selection of geographic origins of traditional Chinese medicine herbs with NIR spectroscopy[J]. Chinese science bulletin, 2005, 50(2): 179-184. DOI: 10.1007/BF02897523
Authors:Shuhua Liu  Xuegong Zhang  Suqin Sun
Affiliation:e-mail: zhangxg@tsinghua.edu.cn
Abstract:
With the traditional Chinese medicine herbs angelicae dahuricae radix (ADR or Baizhi) and salviae miltiorrhizae radix (SMR or Danshen) as two examples, this work studies the automatic discrimination of the geographic origins of the herbs using near infrared (NIR) reflectance spectroscopy. Multi-class support vector machine (SVM) is utilized for the purpose, and recursive SVM is utilized to select the feature spectral segments that are decisive for the discrimination. With only 5 and 8 short spectral segments, discriminative accuracies of 92% are achieved on independ- ent test sample sets. This work not only provides a prototype of accurate rapid discriminating systems for quality control of herbal medicines, but also opens new possibilities in studying subtle differences in the chemical compositions of herbs from different cultivation conditions and investigating their associations with the effectiveness of the herbs.
Keywords:traditional Chinese medicine   discrimination of geo- graphic origin   near infrared   pattern recognition   feature selection   support vector machine.
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