正交实验结合AHP和GA-BP神经网络优化益黄散醇提工艺
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篇名: | 正交实验结合AHP和GA-BP神经网络优化益黄散醇提工艺 |
TITLE: | Optimization of ethanol extraction process for Yihuang powder by orthogonal experiment combined with AHP and GA-BP neural network |
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90min、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60min、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. |
期刊: | 2024年第35卷第03期 |
作者: | 王巍;杨武杰;韩宇;安悦言;郝季;张强;鞠成国 |
AUTHORS: | WANG Wei,YANG Wujie,HAN Yu,AN Yueyan,HAO Ji,ZHANG Qiang,JU Chengguo |
关键字: | 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: | Yihuang powder; ethanol extraction process; orthogonal experiment; genetic algorithm; BP neural network; |
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