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基于熵权-TOPSIS模型结合特征图谱的蜜麸枳壳原料产地优选及质量标准提升研究
引用本文:万理,祝婧,杨明,谌瑞林,陈泣,易炳学,罗薏.基于熵权-TOPSIS模型结合特征图谱的蜜麸枳壳原料产地优选及质量标准提升研究[J].中草药,2024,55(1):68-76.
作者姓名:万理  祝婧  杨明  谌瑞林  陈泣  易炳学  罗薏
作者单位:江西中医药大学, 江西 南昌 330004;江西中医药大学, 江西 南昌 330004;江西江中中药饮片有限公司, 江西 九江 332300
基金项目:国家自然科学基金资助项目(82060716);江西省中医药标委会2023年第一批标准化项目(2023A23);江西省中医药管理局科技计划项目(2020Z018);江西中医药大学中药学一流学科专项科研基金项目(JXSYLXK-ZHYAO041);江西中医药大学博士科研启动基金课题(2019WBZR007);中药炮制技术传承创新团队(CXTD22003);江西中医药大学研究生创新专项资金项目(JZYC23S54)
摘    要:目的 基于工业化生产条件进行蜜麸枳壳质量标准研究,并优选优势原料产地。方法 参照《中国药典》2020年版方法对18批不同产地来源的蜜麸枳壳进行显微、薄层色谱鉴别,测定水分、总灰分、醇溶性浸出物含量,通过色差仪测定饮片粉末色度,采用HPLC法测定其中柚皮苷和新橙皮苷含量,建立了特征图谱,采用聚类分析、正交偏最小二乘-判别分析(orthogonal partial least squares-discrimination analysis,OPLS-DA)等方法对结果进行分析,并利用熵权-逼近理想解排序法(technique for order preference by similarity to ideal solution,TOPSIS)评价各批次蜜麸枳壳质量。结果 蜜麸枳壳各指标结果均符合《中国药典》2020年版要求,通过建立的蜜麸枳壳特征图谱,得到15个共有峰,指认了6号峰为柚皮苷,7号峰为橙皮苷,8号峰为新橙皮苷,11号峰为橙皮素,12号峰为川陈皮素,13号峰为甜橙黄酮,15号峰为橘红素,聚类分析结果表明,18批蜜麸枳壳样品可聚为4类;通过OPLS-DA法筛选出新橙皮苷、峰10...

关 键 词:蜜麸枳壳  质量评价  特征图谱  熵权法  逼近理想解排序法  色度  柚皮苷  新橙皮苷  橙皮素  川陈皮素
收稿时间:2023/7/4 0:00:00

Preferential selection of raw material production areas and quality standard enhancement of honey bran Aurantii Fructus based on entropy weight-TOPSIS model combined with characteristic chromatogram
WAN Li,ZHU Jing,YANG Ming,CHEN Ruilin,CHEN Qi,YI Bingxue,LUO Yi.Preferential selection of raw material production areas and quality standard enhancement of honey bran Aurantii Fructus based on entropy weight-TOPSIS model combined with characteristic chromatogram[J].Chinese Traditional and Herbal Drugs,2024,55(1):68-76.
Authors:WAN Li  ZHU Jing  YANG Ming  CHEN Ruilin  CHEN Qi  YI Bingxue  LUO Yi
Institution:Jiangxi University of Chinese Medicine, Nanchang 330004, China;Jiangxi University of Chinese Medicine, Nanchang 330004, China;Jiangxi Jiangzhong Traditional Chinese Medicine Pieces Co., Ltd., Jiujiang 332300, China
Abstract:Objective To carry out research on the quality standard of honey bran Zhiqiao (Aurantii Fructus, hbAF) based on the production conditions of the enterprise, and preferr advantageous raw material production areas. Methods Referring to the method of 2020 edition of Chinese Pharmacopoeia, 18 batches of hbAF were identified by microscopy and thin-layer chromatography, and the contents of moisture, total ash, alcohol-soluble leachate were determined. The chromaticity of powder was determined by colorimeter, and the contents of naringin and neohesperidin were measured by HPLC. The characteristic chromatogram was established, and the results were analyzed by the methods of clustering analysis, orthogonal partial least squares- discrimination analysis (OPLS-DA), etc., and the entropy weight-TOPSIS method was utilized to evaluate the quality of hbAF of each batch. Results The results of all the indicators of hbAF met the requirements of the 2020 edition of Chinese Pharmacopoeia. Through the established characteristic chromatogram of hbAF, 15 common peaks were obtained and seven peaks were identified, and the clustering results showed that the 18 batches of samples could be clustered into four classes; Neohesperidin, peak 10, hesperidin, nobiletin, peak 9, and peak 5 were screened as the main differential components by the OPLS-DA method. The results of entropy weight-TOPSIS method showed that the comprehensive quality of hbAF of Hunan Yuanjiang was optimal, and it was recommended to use the local Aurantii Fructus as a raw material for production. Conclusion The methods are simple and easy for the quality control of hbAF. The entropy weight-TOPSIS model was used to evaluate the comprehensive quality of hbAF, and the reverse traceability to screen the advantageous raw material sources, which can provide a reference for the quality improvement of hbAF in the process of industrialized production of hbAF.
Keywords:honey bran Aurantii Fructus  quality assessment  characteristic chromatogram  entropy weight method  technique for order preferenceby similarity to ideal solution  chromaticity  naringin  neohesperidin  hesperidin  nobiletin
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