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作 者:邓家刚[1] 刘进[2] 覃洁萍[1] 冯旭[1] 侯小涛[1] 王丽丽[1]
机构地区:[1]广西中医学院药学院,广西南宁530001 [2]广西师范学院数学与计算机科学系,广西南宁530023
出 处:《华西药学杂志》2009年第1期70-73,共4页West China Journal of Pharmaceutical Sciences
基 金:国家"973"计划资助项目(2007CD512602)
摘 要:目的测定20种活血化淤中药中14种无机元素的含量,并分析20种平性与非平性活血化淤中药药性间的相关性。方法应用火焰原子吸收光谱法、ICP-AES法及原子荧光光谱法测定元素含量,应用支持向量机分析研究14种无机元素与药性的相关性。结果建立了14种无机元素与药性相关性分析的识别模式;20味药材中,平性药的识别正确率为90%,非平性药的识别正确率为80%,总正确率达85%。结论无机元素与中药药性之间具有一定的相关性,其中以K、Mg元素对平性与非平性药的分类影响最大。OBJECTIVE To determine the contents of 14 inorganic elements in 20 Chinese medicines of promoting blood circulation and removing blood stasis. METHODS Flame atomic absorption spectrometric method, ICP - AES and AFS were adopted. The 14 inorganic elements were selected as indexes and trained through support vector machines so as to establish the neutral and non - neutral property of TCM prediction model. RESULTS Of the established model, the recognition accuracy for the neutral medicine was 90 %, and 80 % for non -neutral medicine ,which made up an accuracy of 85% in total. CONCLUSION Chinese Medicine property and the inorganic elements in TCM has some relationship, and support vector machines have some ability to distinguish properties of TCM with amount of inorganic elements in TCM as index.
分 类 号:R917[医药卫生—药物分析学]
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