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

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

doi:10.1016/j.cjche.2014.05.010

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

过程系统工程 | Updated：2026-01-06

- Process Optimization of Ultrasonic Extraction of Puerarin Based on Support Vector Machine
- Chinese Journal of Chemical Engineering Vol. 22, Issue 7, Pages: 735-741(2014)
- Affiliations：
  
  College of Information Science & Technology, Beijing University of Chemical Technology,Beijing,China,100029
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2014.05.010
  CLC：
- Published：2014
- Accepted：
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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.
DOI：

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. DOI： 10.1016/j.cjche.2014.05.010.

摘要

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.

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