Literature DB >> 12381398

Quantifying recontamination through factory environments--a review.

Esther D den Aantrekker1, Remko M Boom, Marcel H Zwietering, Mick van Schothorst.   

Abstract

Recontamination of food products can be the origin of foodborne illnesses and should therefore be included in quantitative microbial risk assessment (MRA) studies. In order to do this, recontamination should be quantified using predictive models. This paper gives an overview of the relevant modelling approaches that are available in the literature to quantify recontamination via factory environment. Different recontamination routes are described: recontamination via air, via processing equipment or via hand contact. Unfortunately, not many available models are directly applicable to the food industry; most models are developed for aquatic or environmental systems. Finally, a general systematic approach is proposed for modelling contamination from surfaces via air, hands or liquid into the product and ranges for the parameters are given.

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Year:  2003        PMID: 12381398     DOI: 10.1016/s0168-1605(02)00137-x

Source DB:  PubMed          Journal:  Int J Food Microbiol        ISSN: 0168-1605            Impact factor:   5.277


  3 in total

1.  Effect of length of time before incorporation on survival of pathogenic bacteria present in livestock wastes applied to agricultural soil.

Authors:  M L Hutchison; L D Walters; A Moore; K M Crookes; S M Avery
Journal:  Appl Environ Microbiol       Date:  2004-09       Impact factor: 4.792

Review 2.  Light based anti-infectives: ultraviolet C irradiation, photodynamic therapy, blue light, and beyond.

Authors:  Rui Yin; Tianhong Dai; Pinar Avci; Ana Elisa Serafim Jorge; Wanessa C M A de Melo; Daniela Vecchio; Ying-Ying Huang; Asheesh Gupta; Michael R Hamblin
Journal:  Curr Opin Pharmacol       Date:  2013-09-20       Impact factor: 5.547

3.  Simulating Cross-Contamination of Cooked Pork with Salmonella enterica from Raw Pork through Home Kitchen Preparation in Vietnam.

Authors:  Sinh Dang-Xuan; Hung Nguyen-Viet; Phuc Pham-Duc; Delia Grace; Fred Unger; Nam Nguyen-Hai; Thanh Nguyen-Tien; Kohei Makita
Journal:  Int J Environ Res Public Health       Date:  2018-10-22       Impact factor: 3.390

  3 in total

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