Optimizing the Conditions for Polysaccharides Ultrasonic-assisted Extraction in Mycelium of Paecilomyces tenuipes Pt196 Using Statistical Approach
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.
polysaccharides Paecilomyces tenuipes response surface methodology artificial neural network genetic algorithm
Linna Du Wenting Bu Wenlin Pan Chen Shao Jiahui Lu Qingfan Meng Lirong Teng Lirong Teng
College of life science,Jilin University,Changchun, 130012, China Zhuhai College,Jilin University Zhuhai, 519041, China
国际会议
太原
英文
462-465
2012-12-08（万方平台首次上网日期，不代表论文的发表时间）