Improvement in Natural Antioxidant Recovery from Sea Buckthorn Berries Using Predictive Model-Based Optimization

Seunghee Kim, Jeongho Lee, Hyerim Son, Kang Hyun Lee, Youngsang Chun, Ja Hyun Lee, Taek Lee () and Hah Young Yoo ()
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Seunghee Kim: Department of Biotechnology, Sangmyung University, 20, Hongjimun 2-gil, Seoul 03016, Republic of Korea
Jeongho Lee: Department of Biotechnology, Sangmyung University, 20, Hongjimun 2-gil, Seoul 03016, Republic of Korea
Hyerim Son: Department of Biotechnology, Sangmyung University, 20, Hongjimun 2-gil, Seoul 03016, Republic of Korea
Kang Hyun Lee: Department of Bio-Convergence Engineering, Dongyang Mirae University, Seoul 08221, Republic of Korea
Youngsang Chun: Department of Advanced Materials Engineering, Shinhan University, Uijeongbu 11644, Republic of Korea
Ja Hyun Lee: Department of Convergence Bio-Chemical Engineering, Soonchunhyang University, Asan 31538, Republic of Korea
Taek Lee: Department of Chemical Engineering, Kwangwoon University, Seoul 01897, Republic of Korea
Hah Young Yoo: Department of Biotechnology, Sangmyung University, 20, Hongjimun 2-gil, Seoul 03016, Republic of Korea

Agriculture, 2024, vol. 14, issue 7, 1-12

Abstract: Sea buckthorn berries (SBB) are well known for being rich in natural bioactive compounds with high pharmacological activity. In this study, the optimization of extraction parameters was performed to recover phenolic compounds with high antioxidant activity from SBB. This study involved a systematic optimization approach, including screening for a variety of parameters, including temperature, time, ethanol concentration, agitation, and solid loading. On the basis of Plackett–Burman design (PBD) model, the two most significant parameters (agitation and solid loading) were selected, and the correlation model between those parameters and multiple responses was derived via response surface methodology (RSM). As a result, the optimal extraction condition for maximizing phenolic content and antioxidant activity was determined to be agitation at 109.54 rpm and a solid loading of 172.67 g/L. Under optimal conditions, SBB extract showed a total phenolic content of 0.21 mg/mL and ABTS and DPPH activities of 27.27% and 58.16%, respectively. The SBB extract prepared under optimal conditions was found to contain caffeic acid, vanillic acid, rutin, and vitamin B1 (thiamine). This work is the first challenge to design an optimization model for the efficient recovery of antioxidants from SBB and is significant in that the model can be applied simply and economically to conventional extraction processes.

Keywords: sea buckthorn; bioactive molecule; phenolic compound; antioxidant activity; response surface methodology; optimization (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
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