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Food Science

Fermentation

2022

Changsha University of Science and Technology

Articles 1 - 5 of 5

Full-Text Articles in Life Sciences

Research Progress On The Influence Of Black Tea Fermentation Conditions On The Tea Pigment Formation, Cui Hong-Chun, Zhang Jian-Yong, Zhao Yun, Huang Hai-Tao, Ao Cun, Li Hong-Li, Shi Da-Liang Oct 2022

Research Progress On The Influence Of Black Tea Fermentation Conditions On The Tea Pigment Formation, Cui Hong-Chun, Zhang Jian-Yong, Zhao Yun, Huang Hai-Tao, Ao Cun, Li Hong-Li, Shi Da-Liang

Food and Machinery

The research progress of the influence of fermentation temperature, fermentation humidity, fermentation time and exogenous additives on the formation of black tea pigment were reviewed. The future research and development trend of black tea pigment formation was prospected.


Effects Of Lactic Acid Bacteria Ferment Ated Pollenson The Inhibition Of A-Glucosidase, Luo Yue-Peng, Yang Yuan-Fan, Yu Yang-Jun, He Jun-Zhu, Wu Ling Oct 2022

Effects Of Lactic Acid Bacteria Ferment Ated Pollenson The Inhibition Of A-Glucosidase, Luo Yue-Peng, Yang Yuan-Fan, Yu Yang-Jun, He Jun-Zhu, Wu Ling

Food and Machinery

Objective:This study focus on improving the a-glucosi-dase inhibition rate of Camellia pollens.Methods:Usinga-gluco-sida se inhibition rate as the index, the response surface method-ology was used to optimize the effects of lactic acid bacteria in ocu-lation amount, fermentation temperature and fermentation timeon the results of Camellia pollens fermentation.Results:It wasfound that the number of lactic acid bacteria inoculated had thegreatest effect on α- glucosidase inhibition, followed by ferment a-tion temperature.The optimized fermentation conditions of Ca-melli a pollens were 0.9%lactic acid bacteria inoculation at 37℃for 3 days.Under the control of the optimized conditions, the in-hi bition rate of αglucosidase …


Research Progress On Industrial Auxiliary Materials Fermentation Of Cigar Tobacco Leaf, Ye Hui-Yuan, Ding Song-Shuang, Duan Wang-Jun, Huang Ming-Yue, Shi Xiang-Dong Jul 2022

Research Progress On Industrial Auxiliary Materials Fermentation Of Cigar Tobacco Leaf, Ye Hui-Yuan, Ding Song-Shuang, Duan Wang-Jun, Huang Ming-Yue, Shi Xiang-Dong

Food and Machinery

This paper reviews the exogenous additives such as microorganisms, enzymes and excipients currently applied to cigar tobacco leaf fermentation and their research and application results to improve the quality of tobacco leaves, and prospects the research direction of cigar tobacco industrial excipient fermentation.


Effects Of Different Storage Conditions On The Quality Of Sweet Potato Leaf Pickles, Liu Xi-Ming, He Jia, Rui Peng Jul 2022

Effects Of Different Storage Conditions On The Quality Of Sweet Potato Leaf Pickles, Liu Xi-Ming, He Jia, Rui Peng

Food and Machinery

Objective:This study aimed to explore the preservation conditions and quality changes of sweet potato leaf sauerkraut fermented by lactic acid bacteria.Methods:After vacuum packaging, the pH value, lactic acid content, nitrite content, colony number, color difference and sensory score of sweet potato leaves were compared under four different kinds of storage conditions, including 25 ℃ at room temperature, 4 ℃ at low temperature, 4 ℃ after pasteurization at 80 ℃-15 min, and 4 ℃ after pasteurization at 85 ℃-10 min.Results:When stored at 25 ℃, the luminance decreased the fastest, and the color became darker at 60 …


Study On Visual Judgment Method Of Fermentation Degree In Industrialized Bread Production Based On Bp Neural Network, Zhao Chun, Chen Xue-Yong, Wu Shao-Shuang, Pang Jie Jul 2022

Study On Visual Judgment Method Of Fermentation Degree In Industrialized Bread Production Based On Bp Neural Network, Zhao Chun, Chen Xue-Yong, Wu Shao-Shuang, Pang Jie

Food and Machinery

Objective:A BP neural network model was established to accurately determine the maturity of dough fermentation.Methods:Used machine vision technology to collect and process the pictures of bread fermentation process, obtained the quantitative information of the pictures, and a prediction model was established for bread fermentation degree based on BP neural network. Taking the time, area, instantaneous velocity, expansion rate, gray value energy, gray value relationship, gray value uniformity and gray value contrast as the input neurons, the regression model of relevant parameters was established.Results:The correlation between the above characteristic parameters and the fermentation process of bread …