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Response surfaces of apricot kernel oil yield in supercritical carbon dioxide
Date
2005-01-01
Author
Ozkal, SG
Yener, Meryem Esra
Bayindirli, L
Metadata
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Response surface methodology was used to determine the effects of solvent flow rate (2, 3 and 4 g/min), pressure (30, 37.5 and 45 MPa), temperature (40, 50 and 60 degrees C), and co-solvent concentration (0, 1.5 and 3 wt% ethanol) on oil yield of apricot (Prunus armeniaca L.) kernel oil in supercritical carbon dioxide (SC-CO2). All the parameters had significant effects on oil yield as well as the interactions between solvent flow rate and pressure, and between pressure and temperature. Oil yield increased with increased parameters. The oil yield was represented by a second-degree polynomial equation. The maximum oil yield from the response surface equation was obtained as 0.26 g/g kernel for 15 min extraction of 5 g apricot kernel particles (particle diameter < 0.850 mm) with 4g/min solvent flow rate containing 3 wt% ethanol at 45 MPa and 60 degrees C. The response surface equation predicted the experimental oil yield with a 10% error. The fatty acid compositions of apricot kernel oils extracted with SC-CO2 and hexane were similar. (c) 2004 Swiss Society of Food Science and Technology. Published by Elsevier Ltd. All rights reserved.
Subject Keywords
Apricot kernel oil
,
Supercritical carbon
,
Dioxide
,
Extraction
,
Response surface methodology
URI
https://hdl.handle.net/11511/41752
Journal
LWT-FOOD SCIENCE AND TECHNOLOGY
DOI
https://doi.org/10.1016/j.lwt.2004.08.003
Collections
Department of Food Engineering, Article
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Response Surface Methodology was used to determine the effects of solvent flow rate (1, 3 and 5 g/ min), pressure (300, 375 and 450 bar) and temperature (40, 50 and 60 degreesC) on hazelnut oil yield in supercritical carbon dioxide (SC-CO2). Oil yield was represented by a second order response surface equation (R-2 = 0.997) using Box-Bhenken design of experiments. Oil yield increased with increasing SC-CO2 flow rate, pressure and temperature. The maximum oil yield was predicted from the response surface equ...
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Solubility of hazelnut oil in supercritical carbon dioxide (SC-CO2) was determined at 15-60MPa, and 40-60 degrees C. The crossover pressure of hazelnut oil was between 15 and 30MPa. The solubility increased with pressure, but increased with temperature above the crossover pressure. Hazelnut particles (1-2 mm) were extracted at 30-60MPa, and 40-60 degrees C with SC-CO2 flow rate of 2 ml/min. Extraction occurred in two periods. The released oil on the surface of particles was extracted in the fast extraction ...
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Mass transfer modeling of apricot kernel oil extraction with supercritical carbon dioxide
Ozkal, SG; Yener, Meryem Esra; Bayindirli, L (2005-09-01)
Effects of process parameters on extraction of apricot (Prunus armeniaca L.) kernel oil with supercritical carbon dioxide (SC-CO2) were investigated. The parameters included particle size (mean particle diameter < 0.425-1.5 mm), solvent flow rate (1-5 g/min), pressure (300-600 bar), temperature (40-70 degrees C) and co-solvent concentration (up to 3.0 wt.% ethanol). The model of broken and intact cells represented the apricot kernel oil extraction well. Grinding was necessary to release the oil from intact ...
Subcritical (carbon dioxide plus ethanol) extraction of polyphenols from apple and peach pomaces, and determination of the antioxidant activities of the extracts
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The effects of pressure (20-60 MPa), temperature (40-60 degrees C), ethanol concentration (14-20 wt.%) and extraction time (10-40 min) on subcritical (CO(2) + ethanol) extraction of polyphenols from apple and peach pomaces (moisture content congruent to 14%, particle size = 0.638 mm) were determined. All variables increased total phenolic contents (TPC) and antiradical efficiencies (AE) of the extracts significantly (p <= 0.05). The optimum pressure and temperature were 54.6-57 MPa and 55.7-58.4 degrees C f...
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S. Ozkal, M. E. Yener, and L. Bayindirli, “Response surfaces of apricot kernel oil yield in supercritical carbon dioxide,”
LWT-FOOD SCIENCE AND TECHNOLOGY
, pp. 611–616, 2005, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/41752.