Abstract
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Article Information:
Optimization and Modeling of Ultrasound-assisted Extraction of Polysaccharides from Cynomorium songaricum and &alpha-glucosidase Inhibitory Activity
Tao Guo, Jun-qing Wei, Ya Wang, Dan Su, Zhen Zhang and Yu-long Yao
Corresponding Author: Ya Wang
Submitted: July 01, 2014
Accepted: August 26, 2014
Published: January 20, 2015 |
Abstract:
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In the study, the extraction processing of polysaccharides from Cynomorium songaricum was optimized by Response Surface Methodology (RSM) and projected by a computer-stimulated Artificial Neural Network (ANN). The optimal process conditions were obtained as follows: extraction temperature 55C, solid-liquid ratio 1:10, power 175 W. Under optimized conditions, The R2 value of 0.99391 and an MSE value of 0.0495 suggested a good generalization of the network and showed a good agreement between the experimental and predicted values. On the other hand, the results also suggested that polysaccharides from Cynomorium songaricum had &alpha-glucosidase inhibitory activity with an IC50 of 8.316 &mug/mL and may be a potential &alpha-glucosidase inhibitory.
Key words: &alpha-glucosidase, artificial neural network, Cynomorium songaricum , polysaccharides, ultrasonic extraction, ,
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Cite this Reference:
Tao Guo, Jun-qing Wei, Ya Wang, Dan Su, Zhen Zhang and Yu-long Yao , . Optimization and Modeling of Ultrasound-assisted Extraction of Polysaccharides from Cynomorium songaricum and &alpha-glucosidase Inhibitory Activity . Advance Journal of Food Science and Technology, (2): 67-73.
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ISSN (Online): 2042-4876
ISSN (Print): 2042-4868 |
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