Optimization of Parameters for the Extraction of Phenolic Antioxidants from Boxberry Tree (Myrica esculenta) Bark Using Response Surface Methodology

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Published: Feb 9, 2024
DOI: https://doi.org/10.14416/j.asep.2023.09.001
Keywords:
Antioxidant Boxberry Myrica esculenta Phenolic Response surface methodology

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Do Thi Kieu Trinh
Department of Postharvest Technology, Faculty of Agriculture and Forestry, Dalat University, Da Lat, Vietnam
Nguyen Thi Thanh Tinh
Department of Postharvest Technology, Faculty of Agriculture and Forestry, Dalat University, Da Lat, Vietnam
Ho Thi Thu Hoa
Department of Postharvest Technology, Faculty of Agriculture and Forestry, Dalat University, Da Lat, Vietnam
Nguyen Tien An
Department of Postharvest Technology, Faculty of Agriculture and Forestry, Dalat University, Da Lat, Vietnam
Pham Ngoc Tuan
Department of Agronomy, Faculty of Agriculture and Forestry, Dalat University, Da Lat, Vietnam
Phan Hoang Dai
Department of Agronomy, Faculty of Agriculture and Forestry, Dalat University, Da Lat, Vietnam

Abstract

The boxberry tree (Myrica esculenta) bark has been known to have multiple health benefits and is used as a traditional medicine. A critical gap in knowledge exists on a simple but effective method to isolate the bioactive components from the bark. This study aimed to optimize the operating conditions, including temperature, ethanol concentration, and time, for the extraction of phenolic antioxidants from the boxberry bark sample using a response surface methodology. Results showed that the second-order polynomial regression models were statistically significant and sufficient to estimate the responses. Response surface optimization for all responses was successfully carried out to determine the optimum extraction conditions, which were a temperature, an ethanol concentration, and an extraction time of 75.8 °C, 48.3% (v/v), and 117 min, respectively. At these conditions, total phenolic and total flavonoid contents, 3-ethylbenzothiazoline-6-sulphonic acid diammonium salt (ABTS) scavenging capacity, and ferric-reducing antioxidant power were predicted to be 205.9 mg GAE/100 g, 37.8 mg CE/100 g, 271.3 mg AAE/100 g, and 111.4 mg AAE/100 g, respectively. The insignificant difference between the estimated and the experimental values suggested that the predictive models were valid to predict the process outcomes.

Article Details

How to Cite
Kieu Trinh, D. T., Thanh Tinh, N. T., Thu Hoa, H. T., An, N. T., Tuan, P. N., & Dai, P. H. (2024). Optimization of Parameters for the Extraction of Phenolic Antioxidants from Boxberry Tree (Myrica esculenta) Bark Using Response Surface Methodology. Applied Science and Engineering Progress, 17(1), 6953. https://doi.org/10.14416/j.asep.2023.09.001
Issue
Vol. 17 No. 1 (2024)
Section
Research Articles

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