Enhancement of ultrasonic-assisted and agitation-assisted flaxseed oil extractions: Kinetic modeling and optimization

The flaxseed oil extraction process has been investigated and enhanced by applying Ultrasonic-Assisted Extraction (UAE), and Mixer-Assisted Extraction (MAE) methods in this study. Response Surface Methodology (RSM) was also utilized to find the optimal values of the extraction parameters. The optima...

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Main Authors: Maede Arefizadeh, Danial Behvandi, Shahrokh Shahhosseini, Ahad Ghaemi
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Results in Engineering
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Online Access:http://www.sciencedirect.com/science/article/pii/S2590123024011022
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author Maede Arefizadeh
Danial Behvandi
Shahrokh Shahhosseini
Ahad Ghaemi
author_facet Maede Arefizadeh
Danial Behvandi
Shahrokh Shahhosseini
Ahad Ghaemi
author_sort Maede Arefizadeh
collection DOAJ
description The flaxseed oil extraction process has been investigated and enhanced by applying Ultrasonic-Assisted Extraction (UAE), and Mixer-Assisted Extraction (MAE) methods in this study. Response Surface Methodology (RSM) was also utilized to find the optimal values of the extraction parameters. The optimal conditions for UAE were determined to be 42.7 min extraction time, 0.283 mm particle size, and 2.48 W/mL power intensity, achieving the oil yield of 94.56 %. For MAE, the optimal conditions were 54.5 min extraction time, 0.274 mm particle size, 21.1 °C temperature, and 0.74 W/mL agitation intensity, resulting in the oil yield of 96.73 %. RSM showed high reliability with R2 values above 0.99 for both methods. Gas Chromatography Flame Ionization Detector (GC-FID) analysis revealed that UAE and MAE resulted in higher unsaturated fatty acids concentrations (85.8 % and 86 %, respectively) compared to CPE (78.2 %). Kinetic studies indicated that UAE and MAE are more efficient in extracting unsaturated fatty acids, with MAE showing the highest double bond content. The Kinetic models demonstrated that extraction kinetics were controlled primarily by solid-phase resistance, with the washing coefficients being significantly higher than the diffusion coefficients. The Perez model calculated diffusion coefficients of 8.03 × 10⁻12 m2/s for UAE and 1.41 × 10⁻11 m2/s for MAE, activation energies of 16.44 kJ/mol for UAE and 15.64 kJ/mol for MAE.
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spelling doaj-art-ccc52f6110ed422f8d604931ebabd7f62025-08-20T02:34:35ZengElsevierResults in Engineering2590-12302024-12-012410284710.1016/j.rineng.2024.102847Enhancement of ultrasonic-assisted and agitation-assisted flaxseed oil extractions: Kinetic modeling and optimizationMaede Arefizadeh0Danial Behvandi1Shahrokh Shahhosseini2Ahad Ghaemi3School of Chemical, Petroleum and Gas Engineering, Iran University of Science and Technology, Narmak, 16846, Tehran, IranSchool of Chemical, Petroleum and Gas Engineering, Iran University of Science and Technology, Narmak, 16846, Tehran, IranCorresponding author.; School of Chemical, Petroleum and Gas Engineering, Iran University of Science and Technology, Narmak, 16846, Tehran, IranSchool of Chemical, Petroleum and Gas Engineering, Iran University of Science and Technology, Narmak, 16846, Tehran, IranThe flaxseed oil extraction process has been investigated and enhanced by applying Ultrasonic-Assisted Extraction (UAE), and Mixer-Assisted Extraction (MAE) methods in this study. Response Surface Methodology (RSM) was also utilized to find the optimal values of the extraction parameters. The optimal conditions for UAE were determined to be 42.7 min extraction time, 0.283 mm particle size, and 2.48 W/mL power intensity, achieving the oil yield of 94.56 %. For MAE, the optimal conditions were 54.5 min extraction time, 0.274 mm particle size, 21.1 °C temperature, and 0.74 W/mL agitation intensity, resulting in the oil yield of 96.73 %. RSM showed high reliability with R2 values above 0.99 for both methods. Gas Chromatography Flame Ionization Detector (GC-FID) analysis revealed that UAE and MAE resulted in higher unsaturated fatty acids concentrations (85.8 % and 86 %, respectively) compared to CPE (78.2 %). Kinetic studies indicated that UAE and MAE are more efficient in extracting unsaturated fatty acids, with MAE showing the highest double bond content. The Kinetic models demonstrated that extraction kinetics were controlled primarily by solid-phase resistance, with the washing coefficients being significantly higher than the diffusion coefficients. The Perez model calculated diffusion coefficients of 8.03 × 10⁻12 m2/s for UAE and 1.41 × 10⁻11 m2/s for MAE, activation energies of 16.44 kJ/mol for UAE and 15.64 kJ/mol for MAE.http://www.sciencedirect.com/science/article/pii/S2590123024011022FlaxseedExtractionUltrasonicAgitationKinetics model
spellingShingle Maede Arefizadeh
Danial Behvandi
Shahrokh Shahhosseini
Ahad Ghaemi
Enhancement of ultrasonic-assisted and agitation-assisted flaxseed oil extractions: Kinetic modeling and optimization
Results in Engineering
Flaxseed
Extraction
Ultrasonic
Agitation
Kinetics model
title Enhancement of ultrasonic-assisted and agitation-assisted flaxseed oil extractions: Kinetic modeling and optimization
title_full Enhancement of ultrasonic-assisted and agitation-assisted flaxseed oil extractions: Kinetic modeling and optimization
title_fullStr Enhancement of ultrasonic-assisted and agitation-assisted flaxseed oil extractions: Kinetic modeling and optimization
title_full_unstemmed Enhancement of ultrasonic-assisted and agitation-assisted flaxseed oil extractions: Kinetic modeling and optimization
title_short Enhancement of ultrasonic-assisted and agitation-assisted flaxseed oil extractions: Kinetic modeling and optimization
title_sort enhancement of ultrasonic assisted and agitation assisted flaxseed oil extractions kinetic modeling and optimization
topic Flaxseed
Extraction
Ultrasonic
Agitation
Kinetics model
url http://www.sciencedirect.com/science/article/pii/S2590123024011022
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AT shahrokhshahhosseini enhancementofultrasonicassistedandagitationassistedflaxseedoilextractionskineticmodelingandoptimization
AT ahadghaemi enhancementofultrasonicassistedandagitationassistedflaxseedoilextractionskineticmodelingandoptimization