Research Article | OPEN ACCESS
Optimization and Modeling of Ultrasound-assisted Extraction of Polysaccharides from Cynomorium songaricum and α-glucosidase Inhibitory Activity
1Tao Guo, 1Jun-qing Wei, 1Ya Wang, 1Dan Su, 1, 2Zhen Zhang and 1, 2Yu-long Yao
1School of Life and Engineering, Lanzhou University of Technology, Langongping Street 287, Lanzhou 730050, China
2Pharmacological Evaluation and Research Center, Shanghai Institute of Pharmaceutical Industry, Shanghai 200437, China
Advance Journal of Food Science and Technology 2015 2:67-73
Received: July 01, 2014 | Accepted: August 26, 2014 | Published: January 20, 2015
Abstract
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 α-glucosidase inhibitory activity with an IC50 of 8.316 μg/mL and may be a potential α-glucosidase inhibitory.
Keywords:
&alpha-glucosidase, artificial neural network, Cynomorium songaricum, polysaccharides, ultrasonic extraction,
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Competing interests
The authors have no competing interests.
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