Optimization of polysaccharide extraction from Hippocampus by deep neural network and Box-Behnken design-response surface methodology.
10.19540/j.cnki.cjcmm.20210311.301
- Author:
Zi-Dong ZHANG
1
;
Yan-Shan HE
2
;
Hao-Dong BAI
3
;
Cong-Jing SHI
2
;
Yong-Feng MO
2
;
Yuan-Ning ZENG
2
;
Qiu-Hong WANG
2
;
Hai-Xue KUANG
3
Author Information
1. Key Laboratory of Basic and Applied Research of Northern Medicine, Heilongjiang Key Laboratory of Pharmacodynamic Material Basis of Traditional Chinese Medicine and Natural Medicine, Ministry of Education, Heilongjiang University of Chinese Medicine Harbin 150040, China School of Traditional Chinese Medicine, Guangdong Pharmaceutical University Guangzhou 510006, China.
2. School of Traditional Chinese Medicine, Guangdong Pharmaceutical University Guangzhou 510006, China.
3. Key Laboratory of Basic and Applied Research of Northern Medicine, Heilongjiang Key Laboratory of Pharmacodynamic Material Basis of Traditional Chinese Medicine and Natural Medicine, Ministry of Education, Heilongjiang University of Chinese Medicine Harbin 150040, China.
- Publication Type:Journal Article
- Keywords:
Hippocampus;
deep neural network;
polysaccharides;
process optimization;
response surface methodology
- MeSH:
Dietary Carbohydrates;
Hippocampus;
Neural Networks, Computer;
Polysaccharides;
Temperature
- From:
China Journal of Chinese Materia Medica
2021;46(10):2501-2508
- CountryChina
- Language:Chinese
-
Abstract:
In this paper, the extraction rate of crude polysaccharides and the yield of polysaccharides from Hippocampus served as test indicators. The comprehensive evaluation indicators were assigned by the R language combined with the entropy weight method. The Box-Behnken design-response surface methodology(BBD-RSM) and the deep neural network(DNN) were employed to screen the optimal parameters for the polysaccharide extraction from Hippocampus. These two modeling methods were compared and verified experimentally for the process optimization. This study provides a reference for the industrialization of effective component extraction from Chinese medicinals and achieves the effective combination of modern technology and traditional Chinese medicine.
