The cold chain is an integral part of the modern food industry. Low temperatures can effectively alleviate food loss and the transmission of foodborne diseases caused by microbial reproduction. However, recent reports have highlighted shortcomings in the current cold chain technology's ability to prevent and control cold-tolerant foodborne pathogens. Furthermore, it has been observed that certain cold-chain foods have emerged as new sources of infection for foodborne disease outbreaks. Consequently, there is a pressing need to enhance control measures targeting cold-tolerant pathogens within the existing cold chain system. This paper aims to review the recent advancements in understanding the cold tolerance mechanisms of key model organisms, identify key issues in current research, and explore the potential of utilizing big data and omics technology in future studies.
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Univ Arkansas Syst, Dept Food Sci, Div Agr, Fayetteville, AR 72704 USA
Univ Arkansas Syst, Ctr Food Safety, Div Agr, Fayetteville, AR 72704 USAUniv Arkansas Syst, Dept Food Sci, Div Agr, Fayetteville, AR 72704 USA
Rubinelli, Peter M.
Liyanage, Rohana
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Univ Arkansas, Dept Chem, Fayetteville, AR 72701 USAUniv Arkansas Syst, Dept Food Sci, Div Agr, Fayetteville, AR 72704 USA
Liyanage, Rohana
Lay, Jackson
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Univ Arkansas, Dept Chem, Fayetteville, AR 72701 USAUniv Arkansas Syst, Dept Food Sci, Div Agr, Fayetteville, AR 72704 USA
Lay, Jackson
Acuff, Jennifer C.
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Univ Arkansas Syst, Dept Food Sci, Div Agr, Fayetteville, AR 72704 USA
Univ Arkansas Syst, Ctr Food Safety, Div Agr, Fayetteville, AR 72704 USAUniv Arkansas Syst, Dept Food Sci, Div Agr, Fayetteville, AR 72704 USA