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基于G1-熵权法的正交实验设计对比BP神经网络优化香芩解热颗粒水提工艺

程炳铎 罗丽琴 李元增 姜婕 陈怡莹 赵济 薛蕊 马云淑

中国药房2024,Vol.35Issue(1):27-32,6.
中国药房2024,Vol.35Issue(1):27-32,6.DOI:10.6039/j.issn.1001-0408.2024.01.05

基于G1-熵权法的正交实验设计对比BP神经网络优化香芩解热颗粒水提工艺

Optimization of water extraction technology of Xiangqin jiere granules by orthogonal design based on G1-entropy weight compared with BP neural network

程炳铎 1罗丽琴 2李元增 1姜婕 1陈怡莹 1赵济 2薛蕊 2马云淑1

作者信息

  • 1. 云南中医药大学中药学院,昆明 650500||云南省傣医药与彝医药重点实验室,昆明 650500||云南省高校外用给药系统与制剂技术研究重点实验室/云南省南药可持续利用研究重点实验室/云南省药食同源饮品工程中心,昆明 650500
  • 2. 云南中医药大学中药学院,昆明 650500||云南省傣医药与彝医药重点实验室,昆明 650500
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摘要

Abstract

OBJECTIVE Optimizing the water extraction technology of Xiangqin jiere granules.METHODS The orthogonal test of 3 factors and 3 levels was designed,and comprehensive scoring was conducted for the above indexes by using G1-entropy weight to obtain the optimized water extraction technology of Xiangqin jiere granules with water addition ratio,extraction time and extraction times as factors,using the contents of forsythoside A,baicalin,phillyrin,oroxylin A-7-O-β-D-glycoside,wogonoside,baicalein and wogonin,and extraction rate as evaluation indexes.BP neural network modeling was used to optimize the network model and water extraction process using the results of 9 groups of orthogonal tests as test and training data,the water addition multiple,decocting time and extraction times as input nodes,and the comprehensive score as output nodes.Then the two analysis methods were compared by verification test to find the best water extraction process parameters.RESULTS The water extraction technology optimized by the orthogonal test was 8-fold water,extracting 3 times,extracting for 1 h each time.Comprehensive score was 96.84(RSD=0.90%).The optimal water extraction technology obtained by BP neural network modeling included 12-fold water,extracting 4 times,extracting for 0.5 h each time.The comprehensive score was 92.72(RSD=0.77%),which was slightly lower than that of the orthogonal test.CONCLUSIONS The water extraction technology of Xiangqin jiere granules is optimized successfully in the study,which includes adding 8-fold water,extracting 3 times,and extracting for 1 hour each time.

关键词

香芩解热颗粒/水提工艺/G1-熵权法/正交实验/BP神经网络

Key words

Xiangqin jiere granules/water extraction technology/G1-entropy weight/orthogonal test/BP neural network

分类

医药卫生

引用本文复制引用

程炳铎,罗丽琴,李元增,姜婕,陈怡莹,赵济,薛蕊,马云淑..基于G1-熵权法的正交实验设计对比BP神经网络优化香芩解热颗粒水提工艺[J].中国药房,2024,35(1):27-32,6.

基金项目

国家中医药管理局高水平中医药重点学科建设项目(No.国中医药人教函[2023]85号) (No.国中医药人教函[2023]85号)

云南省科技厅重点研发计划项目(No.202103AC100005) (No.202103AC100005)

云南省傣医药与彝医药重点实验室开放课题(No.202210SS2204) (No.202210SS2204)

中国药房

OA北大核心CSTPCD

1001-0408

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