Literature DB >> 20067015

[Optimization of solubilizing process of Qingkailing injection based on GA-BPNN modeling].

Ruixin Liu1, Nancen Liu, Xinyuan Shi, Yanjiang Qiao.   

Abstract

OBJECTIVE: To optimize solubilizing process of Qingkailing injection.
METHOD: Uniform design experimental method and GA-BPNN modeling method were applied to optimize the technical parameters, and the solubility of cholic acid in medium was taken as optimizing index. RESULT: The type of solubilizer and pH of medium had greater impact on the index than the concentration for solubilizer. The optimum solubilizer was Tween-80. In a certain range the higher pH of medium was optimum; it was not necessary to use high-concentration solubilizer although there was positive correlation between the index and the concentration of solubilizer.
CONCLUSION: Uniform design combined with GA-BPNN modeling method is suitable for optimization of solubilizing process of Chinese materia medica injection, which has certain practical application value.

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Year:  2009        PMID: 20067015

Source DB:  PubMed          Journal:  Zhongguo Zhong Yao Za Zhi        ISSN: 1001-5302


  1 in total

1.  Bitterness intensity prediction of berberine hydrochloride using an electronic tongue and a GA-BP neural network.

Authors:  Ruixin Liu; Xiaodong Zhang; Lu Zhang; Xiaojie Gao; Huiling Li; Junhan Shi; Xuelin Li
Journal:  Exp Ther Med       Date:  2014-03-11       Impact factor: 2.447

  1 in total

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