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基于熵权法结合层次分析法和反向传播神经网络优选乌梅肉炮制工艺

靳雅珂 宋甜甜 段玺 宋逍 张颖 柯鑫 高蓉 袁心如 乔婵婵 李婷 炊云钊 令颖

中草药2026,Vol.57Issue(10):3753-3763,11.
中草药2026,Vol.57Issue(10):3753-3763,11.DOI:10.7501/j.issn.0253-2670.2026.10.008

基于熵权法结合层次分析法和反向传播神经网络优选乌梅肉炮制工艺

Optimization of processing technology for Mume Fructus flesh based on entropy weight method combined with analytic hierarchy process and back propagation neural network

靳雅珂 1宋甜甜 1段玺 2宋逍 3张颖 1柯鑫 1高蓉 1袁心如 1乔婵婵 1李婷 1炊云钊 1令颖1

作者信息

  • 1. 陕西中医药大学,陕西 咸阳 712046
  • 2. 陕西中医药大学附属医院,陕西 咸阳 712000
  • 3. 陕西中医药大学,陕西 咸阳 712046||中药制药与新药开发教育部工程研究中心,北京 100029
  • 折叠

摘要

Abstract

Objective To optimize the best processing technology of Wumei(Mume Fructus,MF)flesh and determine the best processing parameters.Methods The contents of 5-hydroxymethylfurfural(5-HMF),neochlorogenic acid,chlorogenic acid,cryptochlorogenic acid and caffeic acid were determined by HPLC.The content of polysaccharide in MF flesh was determined by ultraviolet-visible spectrophotometer.The content of each chemical component,the content of water-soluble extracts and the appearance traits were selected as the evaluation indexes,and the weight coefficient of each evaluation index was determined by analytic hierarchy process(AHP)-entropy weight method hybrid weighting method.The L9(34)orthogonal test was carried out with water addition,moistening time and steaming time as factors.Back propagation neural network(BPNN)was used to predict and verify the optimal processing parameters of MF flesh.Results The BPNN optimization process was superior to the orthogonal screening process,and the prediction results were stable and reliable.The composite score was the highest,which was 83.26.The best steaming process of MF flesh was 22.5 kg of water per 100 kg of MF flesh,moistening for 60 min,and steaming for 30 min.Conclusion The determined processing technology of MF flesh is scientific and feasible,which can provide scientific data support for the industrial production of decoction pieces,and also provide a theoretical basis for ensuring the quality and clinical application of MF flesh.

关键词

熵权法/层次分析法/乌梅肉/反向传播神经网络/炮制工艺/正交试验

Key words

entropy weight method/analytic hierarchy process/Mume Fructus flesh/back propagation neural network/processing technology/orthogonal test

分类

医药卫生

引用本文复制引用

靳雅珂,宋甜甜,段玺,宋逍,张颖,柯鑫,高蓉,袁心如,乔婵婵,李婷,炊云钊,令颖..基于熵权法结合层次分析法和反向传播神经网络优选乌梅肉炮制工艺[J].中草药,2026,57(10):3753-3763,11.

基金项目

国家重点研发计划项目(2019YFC1711204) (2019YFC1711204)

陕西省教育厅项目(21JC011) (21JC011)

陕西省中医药管理局项目(2021-04-ZZ-007) (2021-04-ZZ-007)

咸阳市科学技术局项目(L2024-QCY-ZYYJJQ-X50) (L2024-QCY-ZYYJJQ-X50)

中草药

0253-2670

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