Tang Liying, Wu Hongwei, Zhou Xidan, Xu Yilong, Zhou Guohong, Wang Ting, Kou Zhenzhen, Wang Zhuju
Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.
J Sep Sci. 2015 Jul;38(14):2431-8. doi: 10.1002/jssc.201500134. Epub 2015 Jun 18.
A simple and efficient high-performance liquid chromatography fingerprint method was developed to discriminate Semen cassiae from two related species: Cassia obtusifolia L. (CO) and Cassia tora L. (CT), the seeds of which are abbreviated as COS and CTS, respectively. 22 major bioactive ingredients in 42 samples (20 COS and 22 CTS) collected from different provinces of China were identified. The statistical methods included similarity analysis and partial least-squares discriminant analysis. The pattern analysis method was specific and could be readily used for the comprehensive evaluation of Semen cassiae samples. Therefore, high-performance liquid chromatography fingerprint in combination with pattern analysis provided a simple and reliable method for discriminating between COS and CTS.
建立了一种简单高效的高效液相色谱指纹图谱方法，以区分决明子与其两个近缘种：钝叶决明（CO）和决明（CT），其种子分别简称为COS和CTS。对从中国不同省份采集的42个样品（20个COS和22个CTS）中的22种主要生物活性成分进行了鉴定。统计方法包括相似度分析和偏最小二乘判别分析。该模式分析方法具有特异性，可方便地用于决明子样品的综合评价。因此，高效液相色谱指纹图谱结合模式分析为区分COS和CTS提供了一种简单可靠的方法。
