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作 者:崔曰新 张景珍 王思雨 高慧 张瑶 王新杰 孙振阳[1] 王英姿[1] 董玲[1] 孙裕 CUI Yue-xin;ZHANG Jing-zhen;WANG Si-yu;GAO Hui;ZHANG Yao;WANG Xin-jie;SUN Zhen-yang;WANG Ying-zi;DONG Ling;SUN Yu(School of Chinese Materia Medica,Beijing University of Chinese Medicine,Beijing 102488,China;Lanzhou Foci Pharmaceutical Co.,Ltd.,Lanzhou 730046,China)
机构地区:[1]北京中医药大学中药学院,北京102488 [2]兰州佛慈制药股份有限公司,甘肃兰州730046
出 处:《中草药》2019年第23期5724-5730,共7页Chinese Traditional and Herbal Drugs
基 金:国家中药标准化项目(ZYBZH-Y-GS-10-B)
摘 要:目的将熵权法与灰色关联度法相结合进行羌活饮片质量多指标综合评价研究。方法测定42批不同来源的羌活饮片样品中羌活醇、异欧前胡素、挥发油、醇浸出物和水浸出物5个主要指标的含量,采用灰色关联度法,以熵权法所得权重作为分辨系数(ρ),构建羌活饮片质量评价模型。结果不同来源的42批羌活饮片的相对关联度值的范围为0.2411~0.6795,不同批次的羌活饮片质量存在一定差异,实施标准化管理的可溯源饮片,测得的相对关联度较大,质量排序靠前,表明实施饮片标准化管理有利于羌活饮片质量控制;2种方法排名前5的样品为S16、S18、S17、S34、S33。结论基于熵权法和灰色关联度法所建立的新的质量评价模型可用于羌活饮片的质量评价,熵权法赋权提高了灰色关联度法的可靠性及羌活饮片质量评价的科学性。Objective The entropy weight method and grey relative analysis(GRA)method were used to evaluate the quality of prepared Notopterygii Rhizoma et Radix(NRR)slices.Methods The content of extracts(water and ethanol),volatile oil,notopterol and isoimperatorin in 42 batches of NRR slices from different areas was determined.Using GRA,the weight of the entropy weight method was used as the resolution coefficientρto construct the quality research model of the slices.Results The relative correlation degree of each evaluation unit sequence was 0.2411-0.6795,which indicated that the quality of NRR slices from different producing areas and manufacturers were different.The implementation of standardized management of NRR traceable slices had a relatively high degree of correlation,and the quality ranking was in the front,which indicated that the implementation of decoction slices standardized management was beneficial to the quality control of NRR slices.The top five samples were S16,S18,S17,S34,and S33 based on these two methods.Conclusion The comprehensive quality evaluation of NRR slices can be effectively evaluated by GRA and entropy weight method.Entropy weight method improves the reliability of GRA method and the scientificity of quality evaluation of NRR slices.
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