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

doi:10.14088/j.cnki.issn0439-8114.2024.10.026

Abstract

Abstract: 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.

Key words: Compound Fuling Shanyao Granules, entropy weight TOPSIS, orthogonal test, thin-layer chromatography （TLC）

CLC Number:

R283.6

DONG Lin-lin, LIU Xiang-cen, ZHONG Yi-ning, LIANG Yan-fang, CHEN Qiu-hua, CHEN Wei-wei. Preparation process optimization of Compound Fuling Shanyao Granules based on entropy weight TOPSIS method and its TLC identification[J]. HUBEI AGRICULTURAL SCIENCES, 2024, 63(10): 142-148.

References

[1] 侯淑峰,尹艳,杨智荣,等. 解析中医“九种体质”的理论渊源[J]. 中华中医药学刊,2010,28(9): 1956-1957.
[2] 王琦. 9种基本中医体质类型的分类及其诊断表述依据[J]. 北京中医药大学学报,2005,28(4): 1-8.
[3] 王琦,叶加农,朱燕波,等. 中医痰湿体质的判定标准研究[J]. 中华中医药杂志, 2006, 21(2): 73-75.
[4] 国家药典委员会. 中华人民共和国药典(四部)[M]. 北京: 中国医药科技出版社,2020.6.
[5] 徐英霞. 中药汤剂与中药颗粒剂比较探析[J]. 临床医药文献电子杂志,2015,2(1): 87-88.
[6] 常海月,湛欢,周良荣.基于TOPSIS法的湖南省基层医疗机构医疗服务能力评价研究[J].中国初级卫生保健,2021,35(9):10-12.
[7] 季文莹,王睿,李季文,等.熵权TOPSIS法结合正交试验优选双活风湿凝胶贴膏提取工艺[J].中兽医医药杂志,2023,42(1):18-25.
[8] 文谨,刘起华. 参柏颗粒两种制粒工艺的比较研究[J]. 中成药,2011,33(9): 1615-1617.
[9] 高伟城,王小平,肖晓琳,等. 基于熵权TOPSIS法综合评价不同产地枇杷叶质量[J]. 中国药房,2023,34(1):72-77.
[10] 冯敬骞,李姜言,宋剑锋,等. 不同产地衢枳壳药材质量的熵权TOPSIS法综合评价[J]. 中国药房,2021,32(11):1312-1318.
[11] 冯晓莉,李成义,魏舒畅,等. 基于主观赋值结合熵权TOPSIS法综合评价不同产地黄花菜质量[J]. 中国现代应用药学,2022,39(22):2927-2934.
[12] 梁洁,胡珏,徐晖,等. 止得咳颗粒的成型工艺研究[J]. 现代中药研究与实践, 2021, 35(1): 62-65.
[13] 庞琳诺,马葆睿,张萌,等. 复幼颗粒提取工艺优化及制剂处方研究[J]. 中医药学报, 2021, 49(5): 19-25.
[14] 陈卫卫,刘相岑,李小榕,等. 星点设计效应面法优化精合玉竹颗粒的成型工艺[J]. 现代中药研究与实践,2021,35(3):66-69.
[15] 产柳佳,易冰,邹新,等. 麻苏止咳颗粒的成型工艺研究[J]. 湖北农业科学,2022, 61(10): 132-135.
[16] 李梦薇,顾文宏,温浩然,等. 辣木叶改善睡眠复方颗粒剂成型工艺研究[J]. 中医药学报,2019,47(3):67-70.
[17] 陈卫卫,黄金成,黎金享,等. 效应面法优化金蒲菊清热利湿颗粒成型工艺[J]. 国际中医中药杂志,2022,44(11):1273-1277.
[18] 邓松华,谢彪,彭天书,等. 应用正交设计优化天马颗粒剂配方的实验研究[J]. 湖南中医药大学学报,2018,38(3): 266-269.
[19] 何宝峰,马新换,徐志伟,等. 基于改进熵权法联合TOPSIS模型和BPNN建模优化甘草糖类成分提取工艺[J]. 中国药学杂志,2023,58(8):675-682.
[20] 刘雅婷,李会耘,李明慧,等.星点设计-效应面试验优化复方竹茹植物固体饮料的处方[J]. 湖北农业科学, 2021,60(1): 108-113.
[21] 张政,邓月婷,卢英,等. 藤茶保肝片的制备工艺研究[J]. 西部中医药,2021,34(9):35-40.