Optimization of Ultrasonic-Assisted Enzymatic Extraction of Freeze-Dried Sea Buckthorn ( Hippophae rhamnoides L.) Berry Oil Using Response Surface Methodology

Ashrith Kumar T., Sunil Pareek (), Ramanpreet Kaur, Narashans Alok Sagar, Lochan Singh, Rokayya Sami, N. I. Aljuraide, Abeer Elhakem, Zayed D. Alsharari, Raja Saad Alruwais, Mahmood D. Aljabri () and Mohammed M. Rahman
Additional contact information
Ashrith Kumar T.: Department of Agriculture and Environmental Sciences, National Institute of Food Technology Entrepreneurship and Management, Kundli, Sonipat 131028, Haryana, India
Sunil Pareek: Department of Agriculture and Environmental Sciences, National Institute of Food Technology Entrepreneurship and Management, Kundli, Sonipat 131028, Haryana, India
Ramanpreet Kaur: Department of Agriculture and Environmental Sciences, National Institute of Food Technology Entrepreneurship and Management, Kundli, Sonipat 131028, Haryana, India
Narashans Alok Sagar: Department of Agriculture and Environmental Sciences, National Institute of Food Technology Entrepreneurship and Management, Kundli, Sonipat 131028, Haryana, India
Lochan Singh: Department of Agriculture and Environmental Sciences, National Institute of Food Technology Entrepreneurship and Management, Kundli, Sonipat 131028, Haryana, India
Rokayya Sami: Department of Food Science and Nutrition, College of Sciences, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
N. I. Aljuraide: Department of Physics, Turabah Branch, Turabah University College, Taif University, Taif 21944, Saudi Arabia
Abeer Elhakem: Department of Biology, College of Science and Humanities in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia
Zayed D. Alsharari: Department of Clinical Nutrition, Faculty of Applied Medical Sciences, University of Tabuk, Tabuk 47512, Saudi Arabia
Raja Saad Alruwais: Chemistry Department, Faculty of Science and Humanities, Shaqra University, Dawadmi 17472, Saudi Arabia
Mahmood D. Aljabri: Department of Chemistry, University College in Al-Jamoum, Umm Al-Qura University, Makkah 21955, Saudi Arabia
Mohammed M. Rahman: Department of Chemistry, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia

Sustainability, 2022, vol. 14, issue 17, 1-13

Abstract: The ultrasound-assisted extraction (UAE) of oil has received immense importance nowadays because of the enormous benefits the process offers. However, the literature evaluating this process is scarce for sea buckthorn oil. Furthermore, to date, to the best of our knowledge, a study evaluating the combined use of enzymes and UAE for this oil is lacking. In this study, oil from freeze-dried sea buckthorn berries was extracted using ultrasound-assisted enzymatic extraction (UAEE) and the effect of variables (time, enzyme concentration, and solvent to sample ratio) was evaluated on oil yield and its physiochemical properties (acid value, peroxide value, iodine value, density, and color). The optimum conditions were determined using the response surface methodology. The optimum conditions established were 5.08 mL/g, 14.65 min, and 3.13 U/g for a solvent to sample ratio, ultra-sonication time, and enzyme units, respectively. The oil yield was 18.32%. Physicochemical parameters were found better in UAEE oil than in the Soxhlet-extracted oil. Gas chromatography detected relatively higher levels of fatty acids, including palmitic, palmitoleic, and oleic acids in UAEE oil. The optimum conditions were also verified for adequacy by validation and results were matched with predicted values with 0.8 to 1.5 error %, which states that the model can be utilized to predict oil yield percentage.

Keywords: fatty acid composition; FAME; physicochemical characteristics; predictive model; Soxhlet extraction; ultrasonication (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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