Pre-treatment temperature and multi-response surface optimisation of ultrasound-assisted extraction of antioxidants from red dates

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Abstract

Ziziphus jujube known as red dates are natural flora, are a rich source of antioxidant bioactive compounds and are widely used in making Chinese traditional medicine. However, the optimization of extraction conditions and demonstration of extraction kinetics of red dates remains a gap. Therefore, the main objective of this research was to enhance the antioxidant activity via DPPH, crude extract yield, and TPC by response surface methodology (RSM). Also, mathematical modeling of the TPC extraction kinetics was performed. Single-factor experiments were adopted to identify the preliminary RSM ranges of four extraction parameters such as liquid-solid ratio (10, 20, and 30 ml/g), extraction temperature (50, 60 and 70°C), time (40, 50 and 60min), and ultrasonic power (70, 80 and 90%). The extraction kinetics based on RSM optimized conditions were modeled into six extraction kinetic models. As result, the highest crude extract yield (4.56 g), highest TPC (0.023 g GAE/g extract), and highest antioxidant activity (85.88%) were obtained at 60°C. The optimum values were liquid-solid ratio 30ml/g, extraction temperature 60°C, time 60 min, and ultrasonic power 70%. The antioxidant activity of red dates after optimization (90.59%) was higher than that of synthetic antioxidants, Butylated Hydroxytoluene (84.71%), and Butylated Hydroxyanisole (77.73%). Furthermore, the best-fitted kinetic model was the second-order kinetic model due to its coefficient of determination (R2) at 0.9849, being the closest to 1 and its root mean square error (RMSE) was the lowest, 0.001028 among other models.

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Ravikumar, H., Lin, C. B., Leng, C. Y., Ali, A., & Oon, C. C. (2021). Pre-treatment temperature and multi-response surface optimisation of ultrasound-assisted extraction of antioxidants from red dates. Journal of Experimental Biology and Agricultural Sciences, 9(Specialissue 1), S148–S160. https://doi.org/10.18006/2021.9(SPL-1-GCSGD_2020).S148.S160

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