LAPSE:2023.36493
Published Article
LAPSE:2023.36493
Supercritical CO2 Extraction of Seed Oil from Psophocarpus tetragonolobus (L.) DC.: Optimization of Operating Conditions through Response Surface Methodology and Probabilistic Neural Network
August 3, 2023
For the treatment of menopausal symptoms, nutraceuticals and herbal remedies are thought to be more natural and safer than hormones. Attention has been paid to the winged bean (Psophocarpus tetragonolobus (L.)) DC. seed oil. They are constituted of phytosterols, which may be effective in preventing menopausal symptoms. The purpose was to determine the optimal conditions for supercritical fluid extraction of oleic-rich oil from winged bean seeds. To optimize the condition, the response surface methodology (RSM) and probabilistic neural network (PNN) were utilized. In this research, PNN was used to improve RSM estimation by reducing the number of calculations. The optimized extraction conditions for winged bean seed oil entailed a CO2 flow rate of 21.3 L/h, a pressure of 30 MPa, a temperature of 55 °C, and an extraction time of 90 min. Under these conditions, the extraction process yielded a maximum oil yield of 36.27%. Ultimately, winged bean seed oil included a greater proportion of unsaturated fatty acids such as oleic acid, linoleic acid, and linoleic acid than oil produced using cold pressing or co-solvent extraction.
Keywords
oleic acid, probabilistic neural network, Psophocarpus tetragonolobus (L.) DC., response surface methodology, supercritical fluid extraction
Suggested Citation
Pao-la-or P, Marungsri B, Posridee K, Oonsivilai R, Oonsivilai A. Supercritical CO2 Extraction of Seed Oil from Psophocarpus tetragonolobus (L.) DC.: Optimization of Operating Conditions through Response Surface Methodology and Probabilistic Neural Network. (2023). LAPSE:2023.36493
Author Affiliations
Pao-la-or P: School of Electrical Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand
Marungsri B: School of Electrical Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand [ORCID]
Posridee K: School of Food Technology, Institute of Agricultural Technology, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand; Health and Wellness Research Group, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand [ORCID]
Oonsivilai R: School of Food Technology, Institute of Agricultural Technology, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand; Health and Wellness Research Group, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand [ORCID]
Oonsivilai A: School of Electrical Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand
Journal Name
Processes
Volume
11
Issue
7
First Page
1949
Year
2023
Publication Date
2023-06-27
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr11071949, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.36493
This Record
External Link

doi:10.3390/pr11071949
Publisher Version
Download
Files
[Download 1v1.pdf] (1.2 MB)
Aug 3, 2023
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
106
Version History
[v1] (Original Submission)
Aug 3, 2023
 
Verified by curator on
Aug 3, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.36493
 
Original Submitter
Calvin Tsay
Links to Related Works
Directly Related to This Work
Publisher Version