Optimizing the Conditions for Polysaccharides Ultrasonic-assisted Extraction in Mycelium of Paecilomyces tenuipes Pt196 Using Statistical Approach
Linna Du, Wenting Bu, Wenlin Pan, Chen Shao, Jiahui Lu
Available Online May 2014.
- https://doi.org/10.2991/iccia.2012.111How to use a DOI?
- polysaccharides, Paecilomyces tenuipes, response surface methodology, artificial neural network, genetic algorithm
- [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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - https://doi.org/10.2991/iccia.2012.111 ID - Du2014/05 ER -