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Optimization of Ultrasound-Assisted Extraction of Anthocyanins from Mulberry, Using Response Surface Methodology
Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou 510080, China
* Author to whom correspondence should be addressed.
Received: 27 February 2011; in revised form: 6 April 2011 / Accepted: 20 April 2011 / Published: 10 May 2011
Abstract: Mulberry is one of the most widely used traditional Chinese medicines. Anthocyanins are the main bioactive components of mulberry, and possess important biological activities, such as antimicrobial, anti-inflammatory and antioxidant activities. This study investigated the ultrasound-assisted extraction (UAE) of anthocyanins from mulberry by using response surface methodology (RSM). The extraction conditions associated with anthocyanin yield, including extraction solvent, liquid-to-solid rate, temperature and extraction time, are discussed. The optimal conditions obtained by RSM for UAE from mulberry include 63.8% methanol contains 1% (v/v) trifluoroacetic acid (TFA), 43.2 °C temperature, 23.8 (v/w) liquid-to-solid ratio, and 40 min time for the maximum yield (64.70 ± 0.45 mg/g). The results indicated that the UAE can be an effective method for the extraction of some active components from plant materials.
Keywords: ultrasound-assisted extraction; anthocyanins; mulberry; response surface methodology
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Zou, T.-B.; Wang, M.; Gan, R.-Y.; Ling, W.-H. Optimization of Ultrasound-Assisted Extraction of Anthocyanins from Mulberry, Using Response Surface Methodology. Int. J. Mol. Sci. 2011, 12, 3006-3017.
Zou T-B, Wang M, Gan R-Y, Ling W-H. Optimization of Ultrasound-Assisted Extraction of Anthocyanins from Mulberry, Using Response Surface Methodology. International Journal of Molecular Sciences. 2011; 12(5):3006-3017.
Zou, Tang-Bin; Wang, Min; Gan, Ren-You; Ling, Wen-Hua. 2011. "Optimization of Ultrasound-Assisted Extraction of Anthocyanins from Mulberry, Using Response Surface Methodology." Int. J. Mol. Sci. 12, no. 5: 3006-3017.