Process Optimization of Ultrasonic Extraction of Puerarin Based on Support Vector Machine

doi:10.1016/j.cjche.2014.05.010

Chinese Journal of Chemical Engineering ›› 2014, Vol. 22 ›› Issue (7): 735-741.DOI: 10.1016/j.cjche.2014.05.010

• 过程系统工程 • 下一篇

Process Optimization of Ultrasonic Extraction of Puerarin Based on Support Vector Machine

Juan Chen, Xiaoyi Huang, Yanlei Qi, Xin Qi, Qing Guo

College of Information Science & Technology, Beijing University of Chemical Technology, Beijing 100029, China

收稿日期:2013-12-25 修回日期:2014-04-01 出版日期:2014-07-28 发布日期:2014-08-23
通讯作者: Juan Chen
基金资助:
Supported by the National Natural Science Foundation of China (21146009, 21376014).

Process Optimization of Ultrasonic Extraction of Puerarin Based on Support Vector Machine

Juan Chen, Xiaoyi Huang, Yanlei Qi, Xin Qi, Qing Guo

College of Information Science & Technology, Beijing University of Chemical Technology, Beijing 100029, China

Received:2013-12-25 Revised:2014-04-01 Online:2014-07-28 Published:2014-08-23
Supported by:
Supported by the National Natural Science Foundation of China (21146009, 21376014).

摘要/Abstract

摘要： In ultrasonic extraction technology, optimization of technical parameters often considers extraction medium only,without including ultrasonic parameters. This paper focuses on controlling the ultrasonic extraction process of puerarin, investigating the influence of ultrasonic parameters on extraction rate, and empirically analyzing the main components of Pueraria, i.e., isoflavone compounds. A method is presented combining orthogonal experimental design with a support vector machine and a predictivemodel is established for optimization of technical parameters. Fromthe analysiswith the predictivemodel, appropriate process parameters are achieved for higher extraction rate. With these parameters in the ultrasonic extraction of puerarin, the experimental result is satisfactory. This method is of significance to the study of extracting root-stock plant medicines.

关键词: Ultrasonic extraction, Orthogonal experimental design, Support vector machine, Extraction rate

Abstract: In ultrasonic extraction technology, optimization of technical parameters often considers extraction medium only,without including ultrasonic parameters. This paper focuses on controlling the ultrasonic extraction process of puerarin, investigating the influence of ultrasonic parameters on extraction rate, and empirically analyzing the main components of Pueraria, i.e., isoflavone compounds. A method is presented combining orthogonal experimental design with a support vector machine and a predictivemodel is established for optimization of technical parameters. Fromthe analysiswith the predictivemodel, appropriate process parameters are achieved for higher extraction rate. With these parameters in the ultrasonic extraction of puerarin, the experimental result is satisfactory. This method is of significance to the study of extracting root-stock plant medicines.

Key words: Ultrasonic extraction, Orthogonal experimental design, Support vector machine, Extraction rate

Juan Chen, Xiaoyi Huang, Yanlei Qi, Xin Qi, Qing Guo. Process Optimization of Ultrasonic Extraction of Puerarin Based on Support Vector Machine[J]. Chinese Journal of Chemical Engineering, 2014, 22(7): 735-741.

Juan Chen, Xiaoyi Huang, Yanlei Qi, Xin Qi, Qing Guo. Process Optimization of Ultrasonic Extraction of Puerarin Based on Support Vector Machine[J]. Chin.J.Chem.Eng., 2014, 22(7): 735-741.

参考文献

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Process Optimization of Ultrasonic Extraction of Puerarin Based on Support Vector Machine

Process Optimization of Ultrasonic Extraction of Puerarin Based on Support Vector Machine

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