| 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,经单因素实验研究,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,同时利用误差反向传播人工神经网络(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小时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。 |
| 关键词: 黄柏苍术水丸 制备工艺 熵权法 星点设计-效应面法 反向传播人工神经网络(BP-ANN) |
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| 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 |
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liuqi
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Zhejiang Institute of Chinese Medicine Co., Ltd.
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| Abstract: |
| ABSTRACT: OBJECTIVE To optimize the preparation process of Phellodendri Atractylodes rhizome water pills. METHODS Taking water content of pills, dissolution time limit of pills, appearance score, berberine hydrochloride, Atractylodes lancea, imperatorin and the sum of tetrandrine and tetrandrine as evaluation indexes, and taking extrusion-rolling ratio, water addition amount and drying time as influencing factors, through single-factor experimental research, response surface methodology was used for comprehensive evaluation, and entropy weight method was adopted to screen the best preparation process parameters of Phellodendri Atractylodes lancea water pills. At the same time, artificial neural network (BP-ANN) was used for error back propagation. RESULTS The optimum technological conditions are as follows: the ratio of extrusion to rolling is 1:1.2, the water addition is 26%, and the drying time is 8.2 hours; The comprehensive score of each evaluation index is 90 points; BP-ANN neural network is more accurate and stable than response surface technology in optimizing process parameters. CONCLUSION The optimized preparation technology of Phellodendri Atractylodes rhizome water pills is scientific, reasonable, stable and feasible, which lays a good foundation for subsequent mass production control and quality standard establishment. |
| Key words: Phellodendri Atractylodes rhizome water pills Preparation technology Entropy weight method Central composite design-response surface method Back propagation artificial neural network (BP-ANN) |
