Optimization of Oil Loading and Starch-Protein Ratio for Encapsulation of Flaxseed Oil Using Response Surface Methodology

Bhushan Bibwe; Indra Mani; Abhijeet Kar; D. V. K. Samuel; Mir Asif Iquebal

doi:10.52151/jae2019562.1680

Authors

Bhushan Bibwe ICAR- Central Institute of Post Harvest Engineering and Technology, Abohar, Punjab Author
Indra Mani Division of Agricultural Engineering, ICAR-IARI, New Delhi, India Author
Abhijeet Kar Division of Food Science and Post-harvest Technology, ICAR-IARI, New Delhi Author
D. V. K. Samuel Division of Agricultural Engineering, ICAR-Indian Agricultural Research Institute, New Delhi Author
Mir Asif Iquebal Centre for Agricultural Bioinformatics, ICAR-IASRI, New Delhi. Author

DOI:

https://doi.org/10.52151/jae2019562.1680

Keywords:

Flaxseed oil, alpha linoleic acid, encapsulation efficiency, whey protein isolate, response surface methodology

Abstract

Microencapsulation of flaxseed oil (FSO) was studied with tapioca starch (TS)-whey protein isolate (WPI) combination as a shell material using spray drying to optimize the process variables for preparation of spray dried microcapsules of flaxseed oil using TS-WPI coating material combination. Box Behnken design (3k ) was used to design the experimental runs of selected independent variables (three level), which included starch: protein ratio (1:1, 3:1 and 5:1) and oil loading (20 %, 25 %, and 30 %) of total solids in feed mixture and inlet air temperature (IAT:160 o C, 170 o C, and 180 o C) of spray dryer. Response surface methodology (RSM) was used for response analysis and for optimization of process variables for maximizing encapsulation efficiency and minimizing peroxide value (PV). Quadratic models were significantly fitted to the responses with high coefficient of determination (R2 ). The optimum conditions predicted based on numerical optimization were 20 % oil loading, 2.40:1 TS: WPI ratio and 170 o C drying air temperature, respectively. The results of responses observed after confirmatory experiment were in good agreement with the predicted responses of the model.

Author Biographies

Bhushan Bibwe, ICAR- Central Institute of Post Harvest Engineering and Technology, Abohar, Punjab

Scientist
Indra Mani, Division of Agricultural Engineering, ICAR-IARI, New Delhi, India

Head
Abhijeet Kar , Division of Food Science and Post-harvest Technology, ICAR-IARI, New Delhi

Senior Scientist
D. V. K. Samuel, Division of Agricultural Engineering, ICAR-Indian Agricultural Research Institute, New Delhi

Ex- Head,
Mir Asif Iquebal, Centre for Agricultural Bioinformatics, ICAR-IASRI, New Delhi.

Scientist

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