中国现代中药2026，Vol.28Issue(3)：575-583,9.DOI:10.13313/j.issn.1673-4890.20250825001
基于AHP-CRITIC混合加权法与BP-ANN法的加味柴桂方提取工艺优化
Optimization of Extraction Process for Modified Chaigui Formula Based on AHP-CRITIC and BP-ANN
摘要
Abstract
Objective:To optimize the extraction process of modified Chaigui Formula by analytic hierarchy process-criteria importance through intercriteria correlation(AHP-CRITIC)and back propagation artificial neural network(BP-ANN).Methods:An orthogonal design was adopted,with the content of salvianolic acid B,saikosaponin A,saikosaponin B2,and baicalin and the dry extract yield as evaluation indicators.The factors under investigation included water volume,extraction duration,and number of extraction cycles.The AHP-CRITIC method was employed for weighted scoring of these indicators,and a BP-ANN model was established to optimize the extraction process of modified Chaigui Formula.Results:The AHP-CRITIC hybrid weighting method determined the weight coefficients of salvianolic acid B,saikosaponin A,saikosaponin B2,baicalin,and dry extract yield in modified Chaigui Formula as 0.342 6,0.190 7,0.189 0,0.151 3,and 0.126 4,respectively.The analysis of variance showed that the modified Chaigui Formula prepared under optimal extraction process,determined based on the weight coefficients assigned by the AHP-CRITIC method,had a comprehensive score of 75.39,while that predicted by the BP-ANN had a comprehensive score of 76.04.Considering production costs,the finalized optimal process was determined as follows:12 times the solvent volume,extraction for 1 h,and 3 extraction cycles.The results of the validation experiments indicated that the comprehensive score of modified Chaigui Formula prepared under the optimal process was 75.56,with a relative standard deviation(RSD)of 1.98%.Conclusion:The optimized extraction process is stable and reliable,offering a new approach for optimizing the extraction processes of clinically empirical formulas.关键词
加味柴桂方/层次分析-指标相关性权重确定混合加权法/反向传播人工神经网络/提取工艺Key words
modified Chaigui Formula/analytical hierarchy process-criteria importance through intercriteria correlation method/back propagation artificial neural network/extraction process分类
医药卫生引用本文复制引用
王腾腾,李月婷,肖红斌,谭颖,许一帆,程超,霍滢滢,乔韵,蔡胜楠,高家乐,刘洁..基于AHP-CRITIC混合加权法与BP-ANN法的加味柴桂方提取工艺优化[J].中国现代中药,2026,28(3):575-583,9.基金项目
国家自然科学基金项目(82173957,82204599) （82173957,82204599）
国家中医药管理局高水平中医药重点学科建设项目(zyyzdxk-2023265) （zyyzdxk-2023265）
北京中医药大学新教师启动基金项目(2025-JYB-XJSJJ-016) （2025-JYB-XJSJJ-016）
