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Vol. 26 No. 21 (2014): Vol 26 Issue 21

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Optimization of Ultrasound-Assisted Extraction of Polysaccharides from Mulberry Leaves by Response Surface Methodology

https://doi.org/10.14233/ajchem.2014.16569
Miaoli Fang
Department of Applied Chemistry, College of Food Science & Biotechnology Engineering, Zhejiang Gongshang University, Hangzhou 310035, P.R. China; Zhejiang Medical College, Hangzhou 310053, P.R. China
Wei Yan
Department of Applied Chemistry, College of Food Science & Biotechnology Engineering, Zhejiang Gongshang University, Hangzhou 310035, P.R. China
Keke Chen
Department of Applied Chemistry, College of Food Science & Biotechnology Engineering, Zhejiang Gongshang University, Hangzhou 310035, P.R. China
Zhi Ying
Department of Applied Chemistry, College of Food Science & Biotechnology Engineering, Zhejiang Gongshang University, Hangzhou 310035, P.R. China
Xiaoxiang Han
Department of Applied Chemistry, College of Food Science & Biotechnology Engineering, Zhejiang Gongshang University, Hangzhou 310035, P.R. China

Corresponding Author(s) : Xiaoxiang Han

hxx74@126.com

Asian Journal of Chemistry, Vol. 26 No. 21 (2014): Vol 26 Issue 21

Abstract

Response surface methodology was applied to optimize the ultrasound-assisted extraction of polysaccharides from mulberry leaves. A central-composite rotatory design (CCRD) was used for experimental design and analysis of the results to obtain the optimum extraction conditions. Based on the response surface methodology analysis, optimum conditions were: ratio of water to raw material 15:1, power of ultrasound 60 W, extraction temperature 80 °C and extraction time 20 min. Under the optimized conditions, the experimental values were in close agreement with values predicted by the mathematical model. Compared with conventional solvent extraction, ultrasound-assisted extraction was a better method to extract polysaccharides. The crude polysaccharides prepared under optimum conditions contained 55.06 % total sugar, 14.02 % protein, 14.49 % moisture and 17.48 % ash.

Keywords

Mulberry leaves Polysaccharides Ultrasound-assisted extraction Response surface methodology
Fang, M., Yan, W., Chen, K., Ying, Z., & Han, X. (2014). Optimization of Ultrasound-Assisted Extraction of Polysaccharides from Mulberry Leaves by Response Surface Methodology. Asian Journal of Chemistry, 26(21), 7214–7220. https://doi.org/10.14233/ajchem.2014.16569
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