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Discrimination and feature selection of geographic origins of traditional Chinese medicine herbs with NIR spectroscopy

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Chinese Science Bulletin

Abstract

With the traditional Chinese medicine herbsangelicae dahuricae radix (ADR or Baizhi) andsalviae 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.

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Authors and Affiliations

  1. Department of Automation/MOE Key Laboratory of Bioinformatics, Tsinghua University, 100084, Beijing, China

    Shuhua Liu & Xuegong Zhang

  2. Department of Chemistry, Tsinghua University, 100084, Beijing, China

    Suqin Sun

Authors
  1. Shuhua Liu
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  2. Xuegong Zhang
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  3. Suqin Sun
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Corresponding author

Correspondence to Xuegong Zhang.

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Liu, S., Zhang, X. & Sun, S. Discrimination and feature selection of geographic origins of traditional Chinese medicine herbs with NIR spectroscopy. Chin.Sci.Bull. 50, 179–184 (2005). https://doi.org/10.1007/BF02897523

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  • DOI: https://doi.org/10.1007/BF02897523

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