Artículos de revistas
Quantitative Assessment Of The Impact Of Cross-contamination During The Washing Step Of Ready-to-eat Leafy Greens On The Risk Of Illness Caused By Salmonella
Registro en:
Food Research International. Elsevier Science Bv, v. 92, p. 106 - 112, 2017.
0963-9969
1873-7145
WOS:000394071900013
10.1016/j.foodres.2016.12.014
Autor
Maffei
Daniele F.; Sant'Ana
Anderson S.; Franco
Bernadette D. G. M.; Schaffner
Donald W.
Institución
Resumen
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) The aim of this study was to develop a quantitative microbial risk assessment (QMRA) model to estimate the risk of illness caused by Salmonella in ready-to-eat (RTE) leafy greens, based on common practices in Brazilian processing plants. The risk assessment model considered five modules: in field, washing step, retail storage, home storage and dose-response. Fifty thousand iterations of a @Risk model built in Excel were run for each of sixty scenarios. These scenarios considered different initial pathogen concentrations, fractions of contaminated produce and chlorine concentrations. For chlorine, seven pre-set concentrations (0, 5, 10, 25, 50, 150 and 250 mg/L) and three triangular distributions were considered [RiskTriang(0,5,10 mg/L), RiskTriang(0,80,250 mg/L) and RiskTriang(10,120,250 mg/L)]. The outputs were risk of infection, estimated numbet of illnesses and estimated percent of illnesses arising from cross-contamination. The QMRA model indicated quantitatively that higher chlorine concentrations resulted in lower risk of illness. When simulation was done with <5 mg/L of chlorine, most (>96%) of the illnesses arose from cross-contamination, but when a triangular distribution with 10, 120 and 250 mg/L of chlorine was simulated, no illnesses arising from cross-contamination were predicted. Proper control of the sanitizer in the washing step is essential to reduce initial contamination and avoid cross-contamination. (C) 2016 Elsevier Ltd. All rights reserved. 92 106 112 Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) [2012/03471-1, 2013/07914-8, 2014/17017-6] Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq) [400477/2012-2] CNPq [302763/2014-7] Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)