Optimization of rice wine fermentation process based on the simultaneous saccharification and fermentation kinetic model

Dengfeng Liu; Hongtao Zhang; Chi-Chung Lin; Baoguo Xu

doi:10.1016/j.cjche.2016.05.037

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Optimization of rice wine fermentation process based on the simultaneous saccharification and fermentation kinetic model

Process Systems Engineering and Process Safety | Updated：2026-01-06

- Optimization of rice wine fermentation process based on the simultaneous saccharification and fermentation kinetic model
- Chinese Journal of Chemical Engineering Vol. 24, Issue 10, Pages: 1406-1412(2016)
- Affiliations：
  
  1. Key Laboratory of Industrial Advanced Process Control for Light Industry of Ministry of Education, Jiangnan University,Wuxi,China,214122
  2. School of Internet of Things Engineering, Jiangnan University,Wuxi,China,214122
  3. Key Laboratory of Industrial Biotechnology of Ministry of Education, Jiangnan University,Wuxi,China,214122
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2016.05.037
  CLC：
- Published：2016
- Accepted：
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Dengfeng Liu, Hongtao Zhang, Chi-Chung Lin, Baoguo Xu. Optimization of rice wine fermentation process based on the simultaneous saccharification and fermentation kinetic model[J]. , 2016, 24(10): 1406-1412.
DOI：

Dengfeng Liu, Hongtao Zhang, Chi-Chung Lin, Baoguo Xu. Optimization of rice wine fermentation process based on the simultaneous saccharification and fermentation kinetic model[J]. , 2016, 24(10): 1406-1412. DOI： 10.1016/j.cjche.2016.05.037.

摘要

Abstract

Chinese rice wine making is a typical simultaneous saccharification and fermentation (SSF) process. During the fermentation process

temperature is one of the key parameters which decide the quality of Chinese rice wine. To optimize the SSF process for Chinese rice wine brewing

the effects of temperature on the kinetic parameters of yeast growth and ethanol production at various temperatureswere determined in batch cultures using amathematical model. The kinetic parameters as a function of temperature were evaluated using the software Origin8.0. Combing these functions with the mathematical model

an appropriate form of the model equations for the SSF considering the effects of temperature were developed. The kinetic parameters were found to fit the experimental data satisfactorilywith the developed temperature-dependent model. The temperature profile formaximizing the ethanol production for ricewine fermentationwas determined by genetic algorithm. The optimumtemperature profile began at a lowtemperature of 26℃ up to 30 h. The operating temperature increased rapidly to 31.9℃

and then decreased slowly to 18℃ at 65 h. Thereafter

the temperature

was maintained at 18℃ until the end of fermentation. A maximum ethanol production of 89.3 g·L

-1

was attained. Conceivably

our model would facilitate the improvement of Chinese rice wine production at the industrial scale.

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