Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)

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

Authors
Linna Du, Wenting Bu, Wenlin Pan, Chen Shao, Jiahui Lu
Corresponding Author
Linna Du
Available Online May 2014.
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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Volume Title
Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
Series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
10.2991/iccia.2012.111
ISSN
1951-6851
DOI
10.2991/iccia.2012.111How to use a DOI?
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/).

Cite this article

risenwbib
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  -