治疗心脑血管疾病中成药物微量、宏量元素含量模糊分类研究

Blurred classification study of trace elements and macro elements content in Chinese traditional medicine for cardio-cerebral vascular disease

目的 :检测 2 1种治疗心脑血管疾病中成药物中微量、宏量元素的含量 ;运用模糊分类方法研究药物微量、宏量元素与疗效的相关性 ,以期为中成药的质量评价提供一种新的方法 .方法 :采用湿法消解法处理样品 ,用原子吸收分光光度法分析 2 1种中成药物中Na ,Ca,Mg ,K ,Fe,Cr ,Ni,Cu ,Zn ,Mn 10种微量、宏量元素的含量 ;以数据极差法进行统计指标的标准化处理 ,以数量积法算出衡量被分类对象之间的相关系数 ,确定论域上的模糊矩阵 .结果 :相关系数r =0 .5 5时 ,有 9种药物聚类相似 ;相关系数r =0 .6 5时 ,有 6种药物聚类相似 ;r =0 .87时 ,有 2种药物聚类相似 .结论 :药物中微量、宏量元素含量丰富 ,相关系数较大的药物 ,其药物疗效相似 ,揭示该类药物中微量、宏量元素与药物疗效密切相关 。

AIM: To determine the content of trace elements and macro elements in 21 kinds of Chinese traditional medicines for cardio cerebral vascular disease, to study the interrelation of trace elements and macro elements to the therapeutic effect through method of blurred classification,to build a new method for evaluating quality of Chinese traditional medicine. METHODS: By wet nitration method, samples were treated, and by FAAS, the content of 10 kinds of trace elements and macro elements, such as sodium,calcium, magnesium, potassium, iron, nickel, chromium, copper, zinc and manganese in 21 kinds of Chinese traditional medicines was determined. Through data extreme difference method, standard processing of statistical target was carried out, while through the quantity product method, correlation coefficient of classified samples to define blurred matrix was calculated. RESULTS: Cluster in 9 kinds of medicines was similar when correlation coefficient was o.55; cluster in 6 kinds of medicines was similar when correlation coefficient was o.65; cluster in 2 kinds of medicines was similar when correlation coefficient was o.85. CONCLUSION: The trace elements and macro elements are rich and the correlation coefficient is considerably great, then the therapeutic effect of the medicines is similar.This suggests that trace elements and macro elements have much to do with the therapeutic effect.It provides a scientific basis for researching new types of medicines superior in trace elements.