Development of an SVR model for microwave-assisted aqueous two-phase extraction of isoflavonoids from Radix Puerariae. Issue 7 (4th June 2021)
- Record Type:
- Journal Article
- Title:
- Development of an SVR model for microwave-assisted aqueous two-phase extraction of isoflavonoids from Radix Puerariae. Issue 7 (4th June 2021)
- Main Title:
- Development of an SVR model for microwave-assisted aqueous two-phase extraction of isoflavonoids from Radix Puerariae
- Authors:
- Zhang, Yuefei
Han, Lei
Zou, Lian
Zhang, Mei
Chi, Ruan - Abstract:
- Abstract: In this study, simultaneous extraction and purification of isoflavonoids from Radix Puerariae was carried out by the microwave-assisted aqueous two-phase extraction technique (MAATPE). An ethanol/K2 HPO4 system was used to form an aqueous two-phase system. The critical factors, namely, the concentrations of K2 HPO4 and ethanol, solid–liquid ratio, extraction temperature, extraction time, and microwave power were investigated. Subsequently, the least squares support vector regression (LS-SVR) as a machine learning method was used to establish the model and predict extraction yield. The final conditions were concluded as follows: ethanol concentration 29.5% (w/w) and K2 HPO4 concentration 24.9% (w/w), extraction temperature 79 °C, extraction time 8 min, and microwave irradiation power 600 W. Under the optimal condition, the extraction yield of total isoflavonoids reached 13.39%, which was similar to the predicted value of 13.48%. The recovery of isoflavonoids was 94.6%, and the yield of puerarin was 49.5 mg/g.
- Is Part Of:
- Chemical engineering communications. Volume 208:Issue 7(2021)
- Journal:
- Chemical engineering communications
- Issue:
- Volume 208:Issue 7(2021)
- Issue Display:
- Volume 208, Issue 7 (2021)
- Year:
- 2021
- Volume:
- 208
- Issue:
- 7
- Issue Sort Value:
- 2021-0208-0007-0000
- Page Start:
- 1005
- Page End:
- 1016
- Publication Date:
- 2021-06-04
- Subjects:
- Isoflavonoids -- microwave-assisted aqueous two-phase extraction -- Radix Puerariae -- support vector regression
Chemical engineering -- Periodicals
660.205 - Journal URLs:
- http://www.tandfonline.com/toc/gcec20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/00986445.2020.1734578 ↗
- Languages:
- English
- ISSNs:
- 0098-6445
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3143.030000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 16863.xml