RSM and ANN approach for optimization of ultrasonic assisted extraction of pumpkin seed oil and their quality assessment
The current study focuses on optimization of process parameters for ultrasonic assisted extraction (UAE) of pumpkin seed oil (PSO) using response surface methodology (RSM) and artificial neural network (ANN). Three parameters of UAE process, amplitude, time and solvent to seed (S:S) ratio were selec...
Main Authors: | Arunima Singh, Vivek Kumar |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-12-01
|
Series: | Food Chemistry Advances |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2772753X23003738 |
Similar Items
-
Phyto-chemical and bioactive compounds of pumpkin seed oil as affected by different extraction methods
by: Arunima Singh, et al.
Published: (2023-10-01) -
Pumpkin seeds as nutraceutical and functional food ingredient for future: A review
by: Arunima Singh, et al.
Published: (2024-03-01) -
Optimization of germination and ultrasonic‐assisted extraction for the enhancement of γ‐aminobutyric acid in pumpkin seed
by: Li Liang, et al.
Published: (2022-06-01) -
Ultrasonic extraction of amaranth oils
by: L. D. Chulak, et al.
Published: (2018-08-01) -
Ultrasonic extraction of amaranth oils
by: L. D. Chulak, et al.
Published: (2018-08-01)