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Abstract
Chemical pattern recognition was applied to three Chinese herbal medicines from the genus Stephania Lour., viz. S. kwangsiensis Lo, S. viridiflavens Lo and M. Yang and S. mashanica Lo and B.N. Chang. Based on the chemical features obtained from HPLC, SIMCA program was carried out and the results showed that the classification accuracy was 100%. In addition, the obtained features showed three major classes by NLM. The results of both methods were consistent with those of plant taxonomical identification. It suggested that chemical pattern recognition could be a helpful method to classify and identify Chinese herbal medicines.
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