Optimization of pulsed ultrasonic‐assisted extraction of punicalagin from pomegranate ( Punica granatum ) peel: A comparison between response surface methodology and artificial neural network‐multiobjective genetic algorithm

2020 ◽  
Author(s):  
Madhulekha Rakshit ◽  
P. P. Srivastav
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Artificial Neural Network ◽  
Response Surface Methodology ◽  
Punica Granatum ◽  
Multiobjective Genetic Algorithm ◽  
Assisted Extraction ◽  
Ultrasonic Assisted ◽  
Ultrasonic Assisted Extraction ◽  
Pulsed Ultrasonic

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

2013 ◽  
Vol 756-759 ◽  
pp. 180-185
Author(s):  
Lin Na Du ◽  
Wen Ting Bu ◽  
Wen Lin Pan ◽  
Chen Shao ◽  
Jia Hui Lu ◽  
...  
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Artificial Neural Network ◽  
Ultrasonic Power ◽  
Box Behnken Design ◽  
Solid Ratio ◽  
Assisted Extraction ◽  
Ultrasonic Time ◽  
Ultrasonic Assisted ◽  
Artificial Neural

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. [Metho 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. [Result 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. [Conclusion Artificial neural network-genetic algorithm can effectively select the best extraction conditions of polysaccharides in this study.

Sign in / Sign up

Export Citation Format

Share Document