A Research on Mulberry Wine Fermentation Condition Optimization by Means of BBD

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Abstract:

The study was designed by the method of single factor experiment combining with BBD designing experiment to optimize the best fermentation condition of mulberry wine. Through the experiment the best fermentation condition of mulberry wine was confirmed as follows: The yeast addition was 0.14%, sugar content was adjusted to 194.22 g/L before fermentation, the SO2 addition was 76.70mg/L and the temperature was 25.4°C. The alcohol of mulberry wine was 10.3v/v after fermentation.

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Advanced Materials Research (Volumes 791-793)

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84-88

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Zuman Chen. Brewing technique of mulberry wine. CHINA BREWING. 2005, 145(4): 62-64.

Google Scholar

[2] Jinshui Luan. Mulberry wine brewing process. BREWING WINE TECHNIQUE. 2003, (6): 98-100.

Google Scholar

[3] Nengqiang Wang, Jianping Wu, Xiaoming Wu etc. α-chloro acid off halogen fermentation medium using response methodology. Journal of Chemical Industry and Engineering. 2007, 58(1): 176-180.

Google Scholar

[4] Zhijun Wang, Shanshan Yi, Yongbin Han etc. Optimization of liquid fermentation medium in purple sweet potato starchs production -Monascus pigment. Food Science. 2007, 28(6): 197-201.

Google Scholar

[5] The national standard of the People's Republic of China. GB/T 15038-2006: 2- 6.

Google Scholar

[6] Peixuan Ma. Wine quality and detection. Beijing: China Metrology Press. 2002. 108-131.

Google Scholar

[7] Youhui Yang, Liping Zhang, Suxia Zheng. Factors affect the quality of fruit wine fermentation and the control method. CHINA BREWING. 2002(1): 28-30.

Google Scholar

[8] Xuecai Hao, Xiaobin Yu, Zhijue Liu. The response methodology in optimizing the application of microbiological culture media. Food Research and Development. 2006, 27(1): 38-41.

Google Scholar

[9] Yunyan Li, Chuanrong Hu. Experimental Design and Data Processing(Second Edition). Beijing: Chemical Industry Press, (2008).

Google Scholar

[10] GEP Box. W G. Hunter. Statistics for experiments: an introduction to design, data analysis and model building. New Nork: Wiley, (1990).

Google Scholar

[11] Cochran W G, Cox G M. Some methods for the study of response surfaces. In Experimental designs. New York: Wiley, 1992: 335-375.

Google Scholar