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Dynamic characteristics of dough during the fermentation process of Chinese steamed bread.
Chang, Xianhui; Huang, Xingyi; Tian, Xiaoyu; Wang, Chengquan; Aheto, Joshua H; Ernest, Bonah; Yi, Ren.
Afiliação
  • Chang X; School of Food and Biological Engineering, Jiangsu University, Xuefu Road 301, Zhenjiang 212013, Jiangsu, PR China.
  • Huang X; School of Food and Biological Engineering, Jiangsu University, Xuefu Road 301, Zhenjiang 212013, Jiangsu, PR China. Electronic address: h_xingyi@ujs.edu.cn.
  • Tian X; School of Food and Biological Engineering, Jiangsu University, Xuefu Road 301, Zhenjiang 212013, Jiangsu, PR China.
  • Wang C; School of Food and Biological Engineering, Jiangsu University, Xuefu Road 301, Zhenjiang 212013, Jiangsu, PR China.
  • Aheto JH; School of Food and Biological Engineering, Jiangsu University, Xuefu Road 301, Zhenjiang 212013, Jiangsu, PR China.
  • Ernest B; School of Food and Biological Engineering, Jiangsu University, Xuefu Road 301, Zhenjiang 212013, Jiangsu, PR China.
  • Yi R; School of Food and Biological Engineering, Jiangsu University, Xuefu Road 301, Zhenjiang 212013, Jiangsu, PR China.
Food Chem ; 312: 126050, 2020 May 15.
Article em En | MEDLINE | ID: mdl-31896455
ABSTRACT
The fermentation process is crucial to the production of Chinese steamed bread (CSB). In order to select suitable indicators as the basis for further research of establishing intelligent monitoring method for dough fermentation state, this study investigated the dynamic characteristics of dough during fermentation. Indicators included water mobility and distribution, starch-pasting properties, content of free amino acid (FAA), volatile organic compounds (VOCs) and electronic nose (E-nose) response value. Starch-pasting properties of dough and relaxation time (T21, T22) did not change significantly during the fermentation process (p < 0.05). The VOCs and FAAs of the dough had significant differences (p < 0.05) in different fermentation times, but no rule was established. The E-nose response value to headspace was most suitable to monitor the fermentation of dough. Principal component analysis (PCA) was performed on E-nose data from 75 samples and the results indicated that samples of different fermentation states were accurately classified.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fermentação Idioma: En Revista: Food Chem Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fermentação Idioma: En Revista: Food Chem Ano de publicação: 2020 Tipo de documento: Article