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DOI 10.1016/j.jprot.2023.104952

Медицинская библиотека · Journal of proteomics · 2023

Mechanism of acid and alkali electrolyzed water on the elimination of Listeria monocytogenes biofilm based on proteomic analysis.

Huang Hanbing, He Jialin, Gao Xiangyu, Lei Jun, Zhang Yuxi, Wang Yan, Liu Xueqiang, Hao Jianxiong

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

Acidic electrolyzed water is a relatively mature bactericide, which has a certain inhibitory effect on a variety of microorganisms, and is widely used in the field of food processing for cleaning, sterilization and disinfection. This study investigated the deactivation mechanisms of Listeria monocytogenes by Tandem Mass Tags quantitative proteomics analysis. Samples were treated through A1S4 (Alkaline electrolytic water treatment for 1 min and Acid electrolytic water treatment for 4 min), S3A1S1 (Acid electrolyzed water treatment 3 min, Alkaline electrolyzed water treatment 1 min and Acid electrolyzed water treatment 1 min), S5 (Acid electrolytic water treatment for 5 min). Proteomic analysis showed that the mechanism of acid alkaline electrolyzed water treatment to eliminate the inactivation of the biofilm of L. monocytogenes was related to protein transcription and extension, RNA processing and synthesis, gene regulation, sugar and amino acid transport and metabolism, signal transduction and ATP binding. The study on the influence mechanism and action mechanism of the combination of acidic and alkaline electrolyzed water to remove L. monocytogenes biofilm is helpful to understand the development of the process of removing biofilm by electrolyzed water, and provides theoretical support for the treatment of other microbial contamination problems in food processing by electrolyzed water.

Для цитирования: Huang Hanbing, He Jialin, Gao Xiangyu, Lei Jun, Zhang Yuxi, Wang Yan, Liu Xueqiang, Hao Jianxiong. Mechanism of acid and alkali electrolyzed water on the elimination of Listeria monocytogenes biofilm based on proteomic analysis.. Journal of proteomics. 2023. DOI: 10.1016/j.jprot.2023.104952.

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