Optimization of Bioactive Ingredient Extraction from Chinese Herbal Medicine Glycyrrhiza glabra: A Comparative Study of Three Optimization Models
Joint Authors
Zhang, Yuyan
Yu, Li
Jing, Weifeng
Li, Xiaohong
Source
Evidence-Based Complementary and Alternative Medicine
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-15
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The ultraviolet spectrophotometric method is often used for determining the content of glycyrrhizic acid from Chinese herbal medicine Glycyrrhiza glabra.
Based on the traditional single variable approach, four extraction parameters of ammonia concentration, ethanol concentration, circumfluence time, and liquid-solid ratio are adopted as the independent extraction variables.
In the present work, central composite design of four factors and five levels is applied to design the extraction experiments.
Subsequently, the prediction models of response surface methodology, artificial neural networks, and genetic algorithm-artificial neural networks are developed to analyze the obtained experimental data, while the genetic algorithm is utilized to find the optimal extraction parameters for the above well-established models.
It is found that the optimization of extraction technology is presented as ammonia concentration 0.595%, ethanol concentration 58.45%, return time 2.5 h, and liquid-solid ratio 11.065 : 1.
Under these conditions, the model predictive value is 381.24 mg, the experimental average value is 376.46 mg, and the expectation discrepancy is 4.78 mg.
For the first time, a comparative study of these three approaches is conducted for the evaluation and optimization of the effects of the extraction independent variables.
Furthermore, it is demonstrated that the combinational method of genetic algorithm and artificial neural networks provides a more reliable and more accurate strategy for design and optimization of glycyrrhizic acid extraction from Glycyrrhiza glabra.
American Psychological Association (APA)
Yu, Li& Jing, Weifeng& Li, Xiaohong& Zhang, Yuyan. 2018. Optimization of Bioactive Ingredient Extraction from Chinese Herbal Medicine Glycyrrhiza glabra: A Comparative Study of Three Optimization Models. Evidence-Based Complementary and Alternative Medicine،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1155873
Modern Language Association (MLA)
Yu, Li…[et al.]. Optimization of Bioactive Ingredient Extraction from Chinese Herbal Medicine Glycyrrhiza glabra: A Comparative Study of Three Optimization Models. Evidence-Based Complementary and Alternative Medicine No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1155873
American Medical Association (AMA)
Yu, Li& Jing, Weifeng& Li, Xiaohong& Zhang, Yuyan. Optimization of Bioactive Ingredient Extraction from Chinese Herbal Medicine Glycyrrhiza glabra: A Comparative Study of Three Optimization Models. Evidence-Based Complementary and Alternative Medicine. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1155873
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1155873