Optimization of accelerated solvent extraction of ellagitannins in black raspberry seeds using artificial neural network coupled with genetic algorithm. (1st December 2022)
- Record Type:
- Journal Article
- Title:
- Optimization of accelerated solvent extraction of ellagitannins in black raspberry seeds using artificial neural network coupled with genetic algorithm. (1st December 2022)
- Main Title:
- Optimization of accelerated solvent extraction of ellagitannins in black raspberry seeds using artificial neural network coupled with genetic algorithm
- Authors:
- Lee, Ga Eun
Kim, Ryun Hee
Lim, Taehwan
Kim, Jaecheol
Kim, Suna
Kim, Hyoung-Geun
Hwang, Keum Taek - Abstract:
- Highlights: Ellagitannins in black raspberry seeds (BRS) were mostly monomeric and dimeric. Acutissimin A, one of flavano-ellagitannins, was firstly found in Rubus fruits. Optimal conditions extracting ellagitannins were 63.7% acetone, 4.21 min, and 43.9 °C. Developed ANN-GA was efficient to optimize the extraction of ellagitannins in BRS. Abstract: This study aimed to identify ellagitannins in black raspberry seeds (BRS) and to optimize accelerated solvent extraction of ellagitannins using an artificial neural network (ANN) coupled with genetic algorithm. Fifteen monomeric and dimeric ellagitannins were identified in BRS. For ANN modeling, extraction time, extraction temperature, and solvent concentration were set as input variables, and total ellagitannin content was set as output variable. The trained ANN had a mean squared error value of 0.0102 and a regression correlation coefficient of 0.9988. The predicted optimal extraction conditions for maximum total ellagitannin content were 63.7% acetone, 4.21 min, and 43.9 °C. The actual total ellagitannin content under the optimal extraction conditions was 13.4 ± 0.0 mg/g dry weight, and the prediction error was 0.75 ± 0.27%. This study is the first attempt to analyze the composition of ellagitannins in BRS and to determine optimal extraction conditions for maximum total ellagitannin content from BRS.
- Is Part Of:
- Food chemistry. Volume 396(2022)
- Journal:
- Food chemistry
- Issue:
- Volume 396(2022)
- Issue Display:
- Volume 396, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 396
- Issue:
- 2022
- Issue Sort Value:
- 2022-0396-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-12-01
- Subjects:
- Black raspberry seeds -- Ellagitannin -- Accelerated solvent extraction -- Artificial neural network -- Genetic algorithm -- Optimization
Food -- Analysis -- Periodicals
Food -- Composition -- Periodicals
664 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03088146 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.foodchem.2022.133712 ↗
- Languages:
- English
- ISSNs:
- 0308-8146
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3977.284000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23731.xml