基于熵权TOPSIS法优选复方茯苓山药颗粒成型工艺及其薄层鉴别

Preparation process optimization of Compound Fuling Shanyao Granules based on entropy weight TOPSIS method and its TLC identification

以清膏相对密度、清膏与稀释剂配比、可溶性淀粉与糊精配比为考察因素,采用L9(3~4)正交试验法筛选复方茯苓山药颗粒最佳成型工艺。并选择成型率、水分、休止角为指标,结合熵权TOPSIS法综合评价其最佳成型工艺。采用TLC法鉴别茯苓、山药、薏苡仁和山楂。结果表明,TOPSIS模型排名结果与正交试验优化得到的最优结果基本相符,说明建立的模型是成功的。TLC图斑点清晰,分离度好,阴性无干扰。熵权TOPSIS模型的各评价指标主次分明,对于优选复方茯苓山药颗粒成型工艺是一种实用、快捷、有效的多目标决策分析的综合评价方法。薄层鉴别方法可行、准确有效,可用于复方茯苓山药颗粒的质量控制,为此方的接续研究给予参照。

Taking the relative density of clear paste,the ratio of clear paste and thinner,and the ratio of soluble starch and dextrin as the investigation factors,the L9(34)orthogonal test method was used to screen the best molding process Compound Fuling Shanyao Granules.The molding rate,moisture and resting angle were selected as indexes,and the best molding process was evaluated with the entropy weight TOPSIS method.The TLC method was used to identify Poria cocos,Chinese yam,Semen Coicis and Crataegus pinnatifida.The results showed that the TOPSIS model ranking results basically agreed with the optimal results obtained by the orthogonal test,indicating that the established model was successful.The TLC spots were clear,with good separation and no negative interference.The evaluation index of the entropy weight TOPSIS model was clearly defined,which was a practical,rapid and effective comprehensive evaluation method for the multi-objective decision analysis of selecting the best molding process of Compound Fuling Shanyao Granules.The TLC identification method was feasible,accurate and effective,which could be used for the quality control of Compound Fuling Shanyao Granules.This experiment could provide a basis for the follow-up study of this prescription.