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具有生理活性的药用植物,它们彼此在亲缘关系、化学成分和药理作用之间似有一定的内在联系。如能总结这些内在的规律,必将会对中草药的整理提高和新药寻找带来较大的方便。晚近得到飞跃发展的电子计算机技术以及某些多元统计方法,可以在这方面发挥巨大的作用。为了探索在这方面研究的基本方法,我们选择了种类并不太多、而且研究也较有基础的大黄属植物作为试点,应用多元统计和数量分类学的方法,对植物外形、成分和泻下作用等作进一步的
Physiologically active medicinal plants, which appear to have a certain intrinsic connection between their kinship, chemical composition, and pharmacology. If we can summarize these internal laws, we will certainly bring greater convenience to the improvement of Chinese herbal medicines and the search for new drugs. Recently, electronic computer technology and some multivariate statistical methods that have been leaps and bounds can play an enormous role in this regard. In order to explore the basic methods of research in this area, we selected a variety of rhubarb plants that are not too diverse and based on research. We applied multivariate statistics and quantitative taxonomy to examine plant morphology, composition, and diarrhea. Role for further