基于熵权法结合星点设计-效应面法和反向传播人工神经网络优选黄柏苍术水丸制备工艺

刘奇; 姜慧洁; 章越; 胡云莉; 慎凯峰; 张娟; 姜艳; 周丹英

doi:10.13748/j.cnki.issn1007-7693.20232087

基于熵权法结合星点设计-效应面法和反向传播人工神经网络优选黄柏苍术水丸制备工艺

Optimization of Preparation Technology of Phellodendri Atractylodes Rhizome Water Pills Based on Entropy Weight Method Combined with Central Composite Design-Response Surface Method and Back Propagation Artificial Neural Network

摘要

摘要:
目的优选黄柏苍术水丸制备工艺。
方法以丸剂含水量、丸剂溶散时限、外观评分、盐酸小檗碱、苍术素、欧前胡素以及粉防己碱和防己诺林碱之和为评价指标，以挤滚比、加水量、干燥时间为影响因素，经单因素试验研究，再选用效应面法，采用熵权法进行综合评价，筛选黄柏苍术水丸最佳制备工艺参数，同时利用反向传播人工神经网络(back propagation artificial neural network，BP-ANN)预测最佳工艺参数，并对两者进行验证对比。
结果最佳工艺条件为挤滚比为1∶1.2、加水量为26%、干燥时间为8.2 h时，各评价指标的综合评分最高；BP-ANN神经网络优化工艺参数优于响应面工艺，结果更精准稳定。
结论优选的黄柏苍术水丸制备工艺科学合理，稳定可行，为后续大生产控制及质量标准建立打下良好基础。

Abstract:
OBJECTIVE To optimize the preparation process of Phellodendri Atractylodes Rhizome water pills.
METHODS Took the sum of water content of pills, dissolution time limit of pills, appearance score, berberine hydrochloride, Atractylodes lancea, imperatorin and tetrandrine and tetrandrine as evaluation indexes, and took extrusion-rolling ratio, water addition amount and drying time as influencing factors, after single-factor experimental research, entropy weight method was used for comprehensive evaluation, and then response surface methodology was adopted to optimize process parameters of Phellodendri Atractylodes lancea water pills. At the same time, by the back propagation artificial neural network(BP-ANN) to predict optimal process parameters, verify and compare the results of the two fomers.
RESULTS The optimum technological conditions were as follows: the ratio of extrusion to rolling was 1∶1.2, the water addition was 26%, the drying time was 8.2 hours, and the comprehensive score of each evaluation index was the highest; BP-ANN neural network was more accurate and stable than response surface technology in optimizing process parameters.
CONCLUSION The optimized process technology of Phellodendri Atractylodes rhizome water pills is scientific, reasonable, stable and feasible, which lays a good foundation for subsequent mass production control and the establishment of quality standard.

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