Optimizing the Conditions for Polysaccharides Ultrasonic-assisted Extraction in Mycelium of Paecilomyces tenuipes Pt196 Using Statistical Approach

DOI

10.2991/iccia.2012.111How to use a DOI?

Keywords

polysaccharides, Paecilomyces tenuipes, response surface methodology, artificial neural network, genetic algorithm

Abstract

[Purpose] In order to enhance the extraction rate of polysaccharides, a series of statistical approach was used to optimize the ultrasonic-assisted extraction conditions from the mycelium of Paecilomyces tenuipes Pt196. [Method] The optimization of conditions was carried out in two stages. Firstly, the effects of various experimental parameters considered for the investigation (ultrasonic power, ultrasonic time and liquid-solid ratio) were studied using the method of single factor test design experiments. Secondly, a 15-run Box-Behnken design was performed to optimize the extraction conditions of polysaccharides. The experimental results of Box-Behnken design were analyzed by response surface methodology and artificial neural network together with genetic algorithm. [Results] The optimum conditions for polysaccharides extraction obtained by the application of artificial neural network-genetic algorithm were ultrasonic time 345s, ultrasonic power 320 W and liquid-solid ratio 95 mL•g-1. [Conclusions] Artificial neural network-genetic algorithm can effectively select the best extraction conditions of polysaccharides in this study.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Linna Du
AU  - Wenting Bu
AU  - Wenlin Pan
AU  - Chen Shao
AU  - Jiahui Lu
PY  - 2014/05
DA  - 2014/05
TI  - Optimizing the Conditions for Polysaccharides Ultrasonic-assisted Extraction in Mycelium of Paecilomyces tenuipes Pt196 Using Statistical Approach
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 462
EP  - 465
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.111
DO  - 10.2991/iccia.2012.111
ID  - Du2014/05
ER  -