基于熵权-正态云模型的多产地蓬莪术质量评价研究  

Quality evaluation of Curcuma phaeocaulis from multiple habitats based on entropy weight-normal cloud model

作　　者：林薇 朱宗萍[1,3] 廖婉 杨青松[1,3] 高天慧 陈意[1,3] 裴瑾 邓彬[4] 林丽婷 赵萱 LIN Wei;ZHU Zong-ping;LIAO Wan;YANG Qing-song;GAO Tian-hui;CHEN Yi;PEI Jin;DENG Bin;LIN Li-ting;ZHAO Xuan(State Key Laboratory of Southwestern Chinese Medicine Resources,Chengdu University of Traditional Chinese Medicine,Chengdu 611137,China;School of Management,Chengdu University of Traditional Chinese Medicine,Chengdu 611137,China;School of Pharmacy,Chengdu University of Traditional Chinese Medicine,Chengdu 611137,China;Chengdu Di Ao Pharmaceutical Group Co.,Ltd.,Chengdu 610065,China)

机构地区：[1]成都中医药大学西南特色中药资源国家重点实验室,四川成都611137 [2]成都中医药大学管理学院,四川成都611137 [3]成都中医药大学药学院,四川成都611137 [4]成都地奥制药集团有限公司,四川成都610065

出　　处：《中草药》2021年第20期6373-6380,共8页Chinese Traditional and Herbal Drugs

基　　金：四川省科技厅国际合作项目(2018HH0122);四川省科技计划重点研发项目(2020YFN0152);成都市科技局国际科技合作项目(2017-GH02-00054-HZ);四川省首批中医药学科建设重点项目(药用植物学,川中医药函[2020]84号);成都中医药大学“杏林学者”学科人才科研提升计划(CXTD2018003,QNXZ2019028,ZRQN2019010);四川中医药文化传承与研究中心(2019Y003);四川基层卫生事业发展研究中心(SWFZ20-Y-032)。

摘　　要：目的构建熵权-正态云模型,对不同产地蓬莪术Curcuma phaeocaulis的质量进行评价。方法以不同产地的蓬莪术为研究对象,选取吉马酮、呋喃二烯、莪术醇和姜黄素含量为定量指标,建立评价体系。利用熵权法测定不同指标的信息熵,确定各评价指标权重。结合云模型,利用正向云发生器,将各指标等级的界限转化为云,计算不同产地的蓬莪术平均等级隶属度,根据隶属度矩阵和权重矩阵对不同产地蓬莪术的质量进行综合性评价。结果产地为四川的蓬莪术综合质量评价结果较高,绝大部分分布在Ⅰ级和Ⅱ级,其中,又以产地为四川温江的蓬莪术评价结果最好,为Ⅰ级。广西所产的蓬莪术评价以Ⅲ级为主,制约因素为吉马酮含量。云南蓬莪术质量以Ⅲ级和Ⅳ级为主,主要制约因素为姜黄素和莪术醇含量。结论从数据挖掘和数理统计角度,创新引入熵权-正态云模型评价模型,建立宏观状态的数学模型与物质基础相统一的蓬莪术质量评价体系,可为蓬莪术质量综合评价提供一种新思路。Objective To establish an entropy weight-normal cloud model to evaluate the quality of Curcuma phaeocaulis from different producing areas. Methods The contents of germacrone, furandadiene, curcumol and curcumin in C. phaeocaulis from different producing areas were selected as quantitative indexes to establish an evaluation index system. The entropy method is used to measure the information entropy of different indexes and determine the weight of each evaluation index. Combined with the cloud model and using the forward cloud generator, the boundary of each index grade was converted to cloud, and the average grade membership degree of C. phaeocaulis from different producing areas was calculated. The quality of C. phaeocaulis from different producing areas was comprehensively evaluated according to the membership degree matrix and weight matrix. Results The results of comprehensive quality evaluation of C. phaeocaulis from Sichuan producing area were relatively high, most of which were distributed in Ⅰ grade and Ⅱ grade, among which, C. phaeocaulis from Wenjiang producing area of Sichuan was the best, which was the senior grade. The evaluation of C. phaeocaulis produced in Guangxi was dominated by Ⅲ grade, and the limiting factor was the content of germacrone. The quality of Yunnan C. phaeocaulis was dominated by Ⅲ grade and Ⅳ grade, and the main limiting factors were curcumol and curcumin. Conclusion From the perspective of data mining and mathematical statistics, this paper innovatively introduces the entropy-weight cloud model evaluation model, and establishes the quality evaluation system of C. phaeocaulis that integrates the mathematical model of macroscopic state and the concentration of microscopic components, which can provide a new idea for the comprehensive quality evaluation of C. phaeocaulis.

关 键 词：蓬莪术 熵权-正态云模型 吉马酮 呋喃二烯 莪术醇 姜黄素 

分 类 号：R286.2[医药卫生—中药学]