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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Munther, Daniel Luo, Yaguang Wu, Jianhong Magpantay, Felicia M. G. Srinivasan, Parthasarathy |
| Description | Country affiliation: United States Author Affiliation: Munther D ( Department of Mathematics, Cleveland State University, Cleveland, OH, USA.); Luo Y ( Environmental Microbial and Food Safety Laboratory, U.S. Department of Agriculture, Agricultural Research Service, Beltsville, MD, USA.); Wu J ( Department of Mathematics and Statistics, York University, Toronto, ON, Canada.); Magpantay FM ( Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, USA.); Srinivasan P ( Department of Mathematics, Cleveland State University, Cleveland, OH, USA. Electronic address: p.srinivasan35@csuohio.edu.) |
| 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. |
| File Format | HTM / HTML |
| ISSN | 07400020 |
| Volume Number | 51 |
| e-ISSN | 10959998 |
| Journal | Food Microbiology |
| Language | English |
| Publisher | Elsevier |
| Publisher Date | 2015-10-01 |
| Publisher Place | Great Britain (UK) |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Discipline Microbiology Discipline Nutritional Sciences Chlorine Escherichia Coli O157 Growth & Development Food Contamination Lettuce Microbiology Models, Theoretical Spinacia Oleracea Colony Count, Microbial Decontamination Disinfectants Pharmacology Statistics & Numerical Data Food Handling Methods Food Safety Water Journal Article |
| Content Type | Text |
| Resource Type | Article |
| Subject | Microbiology Food Science |
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