Box-Behnken响应面法结合BP神经网络多指标优化胡椒荜茇提取工艺  

Multi-Index Optimization of Extraction Process for Hujiao-Biba by Box-Behnken Response Surface Method Combined with BP Neural Network

作　　者：肖皖晴 邹纯才 鄢海燕 Xiao Wanqing;Zou Chuncai;Yan Haiyan(School of Pharmacy,Wannan Medical College,Wuhu,Anhui 241002,China)

机构地区：[1]皖南医学院药学院,安徽芜湖241002

出　　处：《大理大学学报》2024年第8期33-40,共8页Journal of Dali University

基　　金：安徽高校省级自然科学研究重大项目(KJ2016SD60);安徽省高等学校省级质量工程一流教材建设项目(2020yljc129);安徽省省级质量工程项目(2019kfkc084);皖南医学院药剂学一流本科课程项目(2019ylkc017)。

摘　　要：目的:基于谱效关联及熵权法赋值的Box-Behnken响应面法结合BP神经网络多指标优化胡椒荜茇提取工艺。方法:采用Box-Behnken响应面法考察料液比、提取次数、超声时间对胡椒荜茇超声提取工艺的影响,计算干膏得率、DPPH·清除率,建立胡椒荜茇HPLC指纹图谱并采用灰关联度法确定指纹图谱和DPPH·清除率之间的谱效关系,计算关联度。以关联度对胡椒碱峰面积和指纹图谱共有峰总峰面积进行校正,获得校正后的峰面积。通过熵权法为各评价指标所占的权重赋值,计算综合评价指标。建立BP神经网络模型对试验结果进行目标寻优,最终获得胡椒荜茇的最佳提取工艺。结果:通过Box-Behnken响应面法和BP神经网络模型预测得到的胡椒荜茇最佳提取工艺为:料液比为1∶30(g/mL),提取次数为4次,超声时间为40 min。结论:基于谱效关联及熵权法赋值的Box-Behnken响应面法结合BP神经网络模型可用于优化胡椒荜茇的提取工艺,为胡椒荜茇提取物的制备及相关剂型的研究奠定了基础。Objective:To optimize the extraction process of Hujiao-Biba by using Box-Behnken response surface method combined with BP neural network based on spectrum-effect relationship and entropy weight method.Methods:Effects of solid-liquid ratio,extraction times and ultrasonic time on the ultrasonic extraction process of Hujiao-Biba were investigated by using Box-Behnken response surface method,and the yield of dry extract and DPPH·clearance rate were calculated.HPLC fingerprint of Hujiao-Biba was established and grey correlation method was used to determine the spectrum-effect relationship between fingerprint and DPPH·clearance rate,and the correlation degree was calculated.The correlation degree was used to correct the peak area of piperine and the total peak area of the fingerprint,and the corrected peak area was obtained.The weight of each evaluation index was assigned by entropy weight method,and the comprehensive evaluation index was calculated.A BP neural network model was established to optimize the experimental results and the optimal extraction process for Hujiao-Biba was ultimately obtained.Results:The optimal extraction process for Hujiao-Biba obtained through Box-Behnken response surface method and BP neural network model prediction was as follows:the solid-liquid ratio was 1:30(g/mL),the extraction times was 4 times and the ultrasonic time was 40 min.Conclusion:Box-Behnken response surface method combined with BP neural network model based on spectrum-effect relationship and entropy weight method can be used to optimize the extraction process of Hujiao-Biba,laying a foundation for the preparation of their extract and the study of related dosage forms.

关 键 词：胡椒 荜茇 熵权法 Box-Behnken响应面法 谱效关系 灰色关联度 BP神经网络 

分 类 号：R284.2[医药卫生—中药学]