Optimization of ethanol extraction process for Yihuang powder by orthogonal experiment combined with AHP and GA-BP neural network

WANG Wei; YANG Wujie; HAN Yu; AN Yueyan; HAO Ji; ZHANG Qiang; JU Chengguo

doi:10.6039/j.issn.1001-0408.2024.03.11

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Optimization of ethanol extraction process for Yihuang powder by orthogonal experiment combined with AHP and GA-BP neural network

更新时间：2024-02-07

- Optimization of ethanol extraction process for Yihuang powder by orthogonal experiment combined with AHP and GA-BP neural network
- ZHONGGUO YAOFANG Vol. 35, Issue 3, Pages: 327-332(2024)
- 作者机构：
  
  1.辽宁中医药大学药学院，辽宁大连　116600
  2.辽宁中医药大学医学检验学院，辽宁沈阳　110874
- 作者简介：
- 基金信息：
- DOI：10.6039/j.issn.1001-0408.2024.03.11
  CLC： R284.2;R917
- Published：15 February 2024，
  
  Received：17 September 2023，
  
  Revised：22 November 2023，
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王巍,杨武杰,韩宇等.正交实验结合AHP和GA-BP神经网络优化益黄散醇提工艺 ^Δ[J].中国药房,2024,35(03):327-332.

WANG Wei,YANG Wujie,HAN Yu,et al.Optimization of ethanol extraction process for Yihuang powder by orthogonal experiment combined with AHP and GA-BP neural network[J].ZHONGGUO YAOFANG,2024,35(03):327-332.
王巍,杨武杰,韩宇等.正交实验结合AHP和GA-BP神经网络优化益黄散醇提工艺 ^Δ[J].中国药房,2024,35(03):327-332. DOI： 10.6039/j.issn.1001-0408.2024.03.11.

WANG Wei,YANG Wujie,HAN Yu,et al.Optimization of ethanol extraction process for Yihuang powder by orthogonal experiment combined with AHP and GA-BP neural network[J].ZHONGGUO YAOFANG,2024,35(03):327-332. DOI： 10.6039/j.issn.1001-0408.2024.03.11.

摘要

目的

优化益黄散的醇提工艺。

方法

采用回流提取法，以乙醇体积分数、液料比、提取时间为考察因素设计正交实验，以橙皮苷、川陈皮素、橘皮素、没食子酸、诃黎勒酸、诃子酸、甘草苷、甘草酸、丁香酚含量和干浸膏得率为指标，采用层次分析法（AHP）进行赋权并计算综合评分。通过验证正交实验和遗传算法（GA）-反向传播神经网络（BP神经网络）所预测的结果确定益黄散最佳醇提工艺参数。

结果

正交实验优选的最佳醇提工艺参数为乙醇体积分数60%、液料比14∶1（mL/g）、提取时间90 min、提取2次，验证所得综合评分为79.19分；GA-BP神经网络优选的最佳醇提工艺参数为乙醇体积分数65%、液料比14∶1（mL/g）、提取时间60 min、提取2次，验证所得综合评分为85.30分，高于正交实验所得结果。

结论

采用正交实验结合GA-BP神经网络的寻优方法较传统的正交实验寻优方法效果更佳，其优选出的益黄散最佳醇提工艺稳定可靠。

Abstract

OBJECTIVE

To optimize ethanol extraction process of Yihuang powder.

METHODS

An orthogonal experiment was designed by reflux extraction with ethanol volume fraction， liquid-to-material ratio， and extraction time as investigation factors. The parameters used were the contents of hesperidin， nobiletin， tangeretin， gallic acid， chebulagic acid， chebulinic acid， liquiritin， glycyrrhizin， eugenol， and the paste-forming rate. The analytic hierarchy process （AHP） was used to calculate the comprehensive score. The optimal ethanol extraction process parameters of Yihuang powder were determined by verifying the results predicted by orthogonal experiment and genetic algorithm （GA）-back propagation neural network （BP neural network）.

RESULTS

The optimal ethanol extraction process parameters， as optimized by orthogonal experiment， were as follows: ethanol volume fraction of 60%， liquid-solid ratio of 14∶1 （mL/g)， extraction time of 90 min， and extraction for 2 times. The comprehensive score obtained by verification was 79.19. Meanwhile， the optimal ethanol extraction process parameters， optimized by GA-BP neural network， were ethanol volume fraction of 65%， liquid-solid ratio of 14∶1 （mL/g )， extraction time of 60 min， and extraction for 2 times. The comprehensive score obtained by verification was 85.30， higher than the results obtained from orthogonal experiment.

CONCLUSIONS

The optimization method of orthogonal experiment combined with GA-BP neural network is superior to the traditional orthogonal experiment optimization method. The optimized ethanol extraction process of Yihuang powder is stable and reliable.

关键词

益黄散醇提工艺正交实验遗传算法BP神经网络层次分析法

Keywords

ethanol extraction processorthogonal experimentgenetic algorithmBP neural networkanalytic hierarchy process

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