Optimization of supercritical carbon dioxide extraction of fat and cholesterol from beef floss by response surface methodology


Citation

Noor Eliza M. R., . and Siti Roha A. M., . and Norrizah A. R., . and Adi M. S., . Optimization of supercritical carbon dioxide extraction of fat and cholesterol from beef floss by response surface methodology. pp. 232-245. ISSN 2550-2166

Abstract

Supercritical carbon dioxide (Sc-CO2) was applied to extract fat and cholesterol from beef floss (BF). A response surface methodology (RSM) based on central composite design (CCD) was employed to optimize the extraction conditions of temperature (30 - 62C) pressure (7 - 35 MPa) and extraction time (0 - 40 mins). The optimum conditions were estimated to be at 51.0C and 32.8 MPa for a duration of 32.7 mins. Under such conditions the percentage of fat and cholesterol reduction plus lightness of Sc-CO‚‚ treated BF (STBF) were 81.12 0.8617 and 57.60 respectively. There were no significant differences (p0.05) between experimental and predicted values indicating the adequacy of the well-fitting models. Furthermore the protein and ash content of STBF increased significantly (p0.05) as a result of the extraction. This study indicated that RSM-CCD can be potentially employed in maximizing the extraction of fat and cholesterol from BF under mild Sc-CO2 conditions.


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Abstract

Supercritical carbon dioxide (Sc-CO2) was applied to extract fat and cholesterol from beef floss (BF). A response surface methodology (RSM) based on central composite design (CCD) was employed to optimize the extraction conditions of temperature (30 - 62C) pressure (7 - 35 MPa) and extraction time (0 - 40 mins). The optimum conditions were estimated to be at 51.0C and 32.8 MPa for a duration of 32.7 mins. Under such conditions the percentage of fat and cholesterol reduction plus lightness of Sc-CO‚‚ treated BF (STBF) were 81.12 0.8617 and 57.60 respectively. There were no significant differences (p0.05) between experimental and predicted values indicating the adequacy of the well-fitting models. Furthermore the protein and ash content of STBF increased significantly (p0.05) as a result of the extraction. This study indicated that RSM-CCD can be potentially employed in maximizing the extraction of fat and cholesterol from BF under mild Sc-CO2 conditions.

Additional Metadata

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Item Type: Article
AGROVOC Term: Supercritical CO2 extraction
AGROVOC Term: Fats
AGROVOC Term: Cholesterol
AGROVOC Term: Beef
AGROVOC Term: Optimization methods
AGROVOC Term: Sampling
AGROVOC Term: Experimental design
AGROVOC Term: Statistical analysis
AGROVOC Term: Quality controls
AGROVOC Term: Food science
Depositing User: Mr. AFANDI ABDUL MALEK
Last Modified: 24 Apr 2025 00:55
URI: http://webagris.upm.edu.my/id/eprint/10184

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