RESEARCH ARTICLE


The Research of Procyanidins Extracting and Membrane Concentration Efficiency Based on Ultrasonic -Assisted Filtration



Rongbiao Zhang*, Dongmin Ning, Liang Qiu, Yang Qian, Zuowei Ren
School of Electrical Engineering, Jiangsu University, Zhenjiang City, 212013, China


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Creative Commons License
© Zhang et al.; Licensee Bentham Open.

open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.

* Address correspondence to this author at the Xuefu Road, Jingkou Zone, Zhenjiang City, 212013, China; Tel: 86+13952871709; Email: zrb@ujs.edu.cn


Abstract

In order to improve the traditional methods of procyanidins extracting, ultrasonic-assisted filtration was used in the process of extracting proan-thocyanidin which was from membrane concentration of grape seed. Through the mechanism analysis of ultrasonic-assisted ultrafiltration, ultrasonic is able to alleviate the phenomenon of concentration polari-zation, so the efficiency of extracting proanthocyanidins was improved. Based on the phenomenon that ultrasonic enhanced membrane concentration of procyanidins extracting, BP neural network was used to construct the ultrasonic-assisted filtration membrane-flux model, and the genetic algorithm was used to optimize the parameters of ultrasonic-assisted filtration. The research results show that the optimal process parameters of ultrasonic-assisted are ultrasonic power 240W, number of vibrator 6, angle of vibrator 40°and ultrasonic time 9 min. Itrafiltration flux increased by 42% under the above conditions.

Keywords: Genetic algorithm, Membrane concentration, Membrane flux, Neural network, Procyanidins, Ultrasonic.