Citation
Ivanova P., . and Brandão T. R. S., . and Silva C. L. M., . and Chalova V. I., . and Kalaydzhiev H., . A two-step factorial design for optimization of protein extraction from industrial rapeseed meal after ethanol-assisted reduction of antinutrients. pp. 1155-1163. ISSN 2231-7546
Abstract
Rapeseed meal is a by-product of oil production with relatively high antinutrient content which limits its application in both feed and food industries. A two-step procedure including two-level full factorial and central composite designs was used to assess the influence of five factors namely pH (6 and 12) temperature (20 and 40C) NaCl concentration (0 and 7.5) rapeseed meal concentration (2.5 and 5) and extraction longevity (15 and 60 min) on protein extraction from industrial rapeseed meal subjected to ethanol-assisted reduction of antinutrients. Data demonstrated that pH and its interaction with NaCl influenced protein extractability the most. While still significant individual effects of NaCl extraction longevity temperature and its interaction with pH had a less significant effect on protein yield. Overall higher protein yields were obtained in response to combining high pH values with low NaCl concentrations and high pH values with high temperatures. The highest protein yield (59.56 1.29) was achieved after extraction of 5 ethanol-treated rapeseed meal at pH 12 with no NaCl addition at 40C and extraction longevity of 60 min. A second-order polynomial model for protein yield prediction was generated. The adequacy of the model was verified by coefficient of determination and residual analyses. A high correlation between experimentally obtained and predicted protein yields (R 0.95) was established. Since extraction conditions are strong determinants of protein characteristics the predictive model generated in the present work is useful for the selection of factor combinations which allows for the achievement of optimal protein yield of a product with desired techno-functional properties.
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Abstract
Rapeseed meal is a by-product of oil production with relatively high antinutrient content which limits its application in both feed and food industries. A two-step procedure including two-level full factorial and central composite designs was used to assess the influence of five factors namely pH (6 and 12) temperature (20 and 40C) NaCl concentration (0 and 7.5) rapeseed meal concentration (2.5 and 5) and extraction longevity (15 and 60 min) on protein extraction from industrial rapeseed meal subjected to ethanol-assisted reduction of antinutrients. Data demonstrated that pH and its interaction with NaCl influenced protein extractability the most. While still significant individual effects of NaCl extraction longevity temperature and its interaction with pH had a less significant effect on protein yield. Overall higher protein yields were obtained in response to combining high pH values with low NaCl concentrations and high pH values with high temperatures. The highest protein yield (59.56 1.29) was achieved after extraction of 5 ethanol-treated rapeseed meal at pH 12 with no NaCl addition at 40C and extraction longevity of 60 min. A second-order polynomial model for protein yield prediction was generated. The adequacy of the model was verified by coefficient of determination and residual analyses. A high correlation between experimentally obtained and predicted protein yields (R 0.95) was established. Since extraction conditions are strong determinants of protein characteristics the predictive model generated in the present work is useful for the selection of factor combinations which allows for the achievement of optimal protein yield of a product with desired techno-functional properties.
Additional Metadata
Item Type: | Article |
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AGROVOC Term: | Rapeseed meal |
AGROVOC Term: | Oil mill byproducts |
AGROVOC Term: | Extraction |
AGROVOC Term: | Acidity |
AGROVOC Term: | Temperature |
AGROVOC Term: | Sodium chloride |
AGROVOC Term: | Longevity |
AGROVOC Term: | Proteins |
AGROVOC Term: | Yields |
Depositing User: | Mr. AFANDI ABDUL MALEK |
Last Modified: | 24 Apr 2025 00:54 |
URI: | http://webagris.upm.edu.my/id/eprint/8502 |
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