山东科学2012，Vol.25Issue(1)：47-50,4.
基于PCA的中药黄芩药效评价方法研究
Research on principle component analysis based pharmacological effect evaluation method for a kind of Chinese herbal medicine, Baikal skullcap root
摘要
Abstract
We employ the algorithm of principal component analysis （PCA） to process the acquired chromatographic fingerprint and inhibitory rate by dimensionality reduction to realize chromatographic fingerprint and pharmacological effect correlation mode based comprehensive quality evaluation for Baikal skullcap root. Test results demonstrate its advances and higher reliability. This method provides us a new and referable idea for the quality evaluation of traditional Chinese herbal medicine.关键词
中药药效评价/谱效相关模式/主成分分析法/指纹图谱/黄芩Key words
quality evaluation of traditional Chinese medicine/chromatographic fingerprint and pharmacological effectcorrelation mode/principal component analysis/fingerprint/Baikal skullcap root分类
医药卫生引用本文复制引用
成巍,侯恩广,李珂,李树彬,赵渤年,于宗渊..基于PCA的中药黄芩药效评价方法研究[J].山东科学,2012,25(1):47-50,4.基金项目
“十一五”国家科技支撑计划项目 （）
山东省科学院博士基金项目（科基合宁（2008）第25号） （）
