Literature DB >> 26187834

A mathematical model for pathogen cross-contamination dynamics during produce wash.

Daniel Munther1, Yaguang Luo2, Jianhong Wu3, Felicia M G Magpantay4, Parthasarathy Srinivasan5.   

Abstract

One of the main challenges for the fresh-food produce industry is to ensure that the produce is free from harmful pathogens. A potential area of risk is due to cross-contamination in a sanitizing chlorine wash-cycle, where the same water is used to wash contaminated as well as non-contaminated produce. However, this is also an area where effective intervention strategies are possible, provided we have a good understanding of the mechanism of cross-contamination. Based on recent experimental work by Luo, Y. et al. A pilot plant scale evaluation of a new process aid for enhancing chlorine efficacy against pathogen survival and cross-contamination during produce wash, International Journal of Food Microbiology, 158 (2012), 133-139, we have built mathematical models that allow us to quantify the amount of cross-contamination of Escherichia coli O157:H7 from spinach to lettuce, and assessed the efficacy of the associated wash-cycle protocols.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cross-contamination; Mathematical modeling; Produce wash-cycle

Mesh:

Substances:

Year:  2015        PMID: 26187834     DOI: 10.1016/j.fm.2015.05.010

Source DB:  PubMed          Journal:  Food Microbiol        ISSN: 0740-0020            Impact factor:   5.516


  2 in total

1.  Evaluation of Potential Impacts of Free Chlorine during Washing of Fresh-Cut Leafy Greens on Escherichia coli O157:H7 Cross-Contamination and Risk of Illness.

Authors:  Amir Mokhtari; Hao Pang; Sofia Santillana Farakos; Gordon R Davidson; Elizabeth Noelia Williams; Jane M Van Doren
Journal:  Risk Anal       Date:  2021-09-15       Impact factor: 4.302

2.  Microfluidic droplet application for bacterial surveillance in fresh-cut produce wash waters.

Authors:  J Brian Harmon; Hannah K Gray; Charles C Young; Kellogg J Schwab
Journal:  PLoS One       Date:  2020-06-09       Impact factor: 3.240

  2 in total

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