Molecules 2013, 18(1), 1101-1110; doi:10.3390/molecules18011101
Article

Optimization of Ultrasonic Assisted Extraction of Antioxidants from Black Soybean (Glycine max var) Sprouts Using Response Surface Methodology

1 School of Chemical and Material Engineering, Jiangnan University, Wuxi 214122, Jiangsu, China 2 School of Chemical Engineering, Hebei United University, Tangshan 063009, Hebei, China 3 Shanghai Jahwa United Co. Ltd, Shanghai 200082, China 4 School of Science, Beijing Technology and Business University, Beijing 100048, China
* Author to whom correspondence should be addressed.
Received: 22 November 2012; in revised form: 24 December 2012 / Accepted: 28 December 2012 / Published: 16 January 2013
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Abstract: Response surface methodology (RSM) using a central composite design (CCD) was employed to optimize the conditions for extraction of antioxidants from black soybean (Glycine max var) sprouts. Three influencing factors: liquid-solid ratio, period of ultrasonic assisted extraction and extraction temperature were investigated in the ultrasonic aqueous extraction. Then Response Surface Methodology (RSM) was applied to optimize the extraction process focused on DPPH radical-scavenging capacity of the antioxidants with respect to the above influencing factors. The best combination of each significant factor was determined by RSM design and optimum pretreatment conditions for maximum radical-scavenging capacity were established to be liquid-solid ratio of 29.19:1, extraction time of 32.13 min, and extraction temperature of 30 °C. Under these conditions, 67.60% of DPPH radical-scavenging capacity was observed experimentally, similar to the theoretical prediction of 66.36%.
Keywords: black soybean sprouts; antioxidant; ultrasonic assisted extraction; aqueous extraction; response surface methodology

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MDPI and ACS Style

Lai, J.; Xin, C.; Zhao, Y.; Feng, B.; He, C.; Dong, Y.; Fang, Y.; Wei, S. Optimization of Ultrasonic Assisted Extraction of Antioxidants from Black Soybean (Glycine max var) Sprouts Using Response Surface Methodology. Molecules 2013, 18, 1101-1110.

AMA Style

Lai J, Xin C, Zhao Y, Feng B, He C, Dong Y, Fang Y, Wei S. Optimization of Ultrasonic Assisted Extraction of Antioxidants from Black Soybean (Glycine max var) Sprouts Using Response Surface Methodology. Molecules. 2013; 18(1):1101-1110.

Chicago/Turabian Style

Lai, Jixiang; Xin, Can; Zhao, Ya; Feng, Bing; He, Congfen; Dong, Yinmao; Fang, Yun; Wei, Shaomin. 2013. "Optimization of Ultrasonic Assisted Extraction of Antioxidants from Black Soybean (Glycine max var) Sprouts Using Response Surface Methodology." Molecules 18, no. 1: 1101-1110.

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