Literature DB >> 24750814

Microbiological sampling plan based on risk classification to verify supplier selection and production of served meals in food service operation.

Evy Lahou1, Liesbeth Jacxsens2, Filip Van Landeghem2, Mieke Uyttendaele2.   

Abstract

Food service operations are confronted with a diverse range of raw materials and served meals. The implementation of a microbial sampling plan in the framework of verification of suppliers and their own production process (functionality of their prerequisite and HACCP program), demands selection of food products and sampling frequencies. However, these are often selected without a well described scientifically underpinned sampling plan. Therefore, an approach on how to set-up a focused sampling plan, enabled by a microbial risk categorization of food products, for both incoming raw materials and meals served to the consumers is presented. The sampling plan was implemented as a case study during a one-year period in an institutional food service operation to test the feasibility of the chosen approach. This resulted in 123 samples of raw materials and 87 samples of meal servings (focused on high risk categorized food products) which were analyzed for spoilage bacteria, hygiene indicators and food borne pathogens. Although sampling plans are intrinsically limited in assessing the quality and safety of sampled foods, it was shown to be useful to reveal major non-compliances and opportunities to improve the food safety management system in place. Points of attention deduced in the case study were control of Listeria monocytogenes in raw meat spread and raw fish as well as overall microbial quality of served sandwiches and salads.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Food service operation; Microbial risk categorization; Sampling plan; Supplier selection

Mesh:

Year:  2014        PMID: 24750814     DOI: 10.1016/j.fm.2014.01.012

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


  2 in total

1.  A Probabilistic Decision-Making Scoring System for Quality and Safety Management in Aloreña de Málaga Table Olive Processing.

Authors:  Miguel Á Ruiz Bellido; Antonio Valero; Eduardo Medina Pradas; Verónica Romero Gil; Francisco Rodríguez-Gómez; Guiomar D Posada-Izquierdo; Francisco Rincón; Aricia Possas; Rosa M García-Gimeno; Francisco N Arroyo-López
Journal:  Front Microbiol       Date:  2017-11-29       Impact factor: 5.640

2.  Characterization of the Bacterial Community Naturally Present on Commercially Grown Basil Leaves: Evaluation of Sample Preparation Prior to Culture-Independent Techniques.

Authors:  Siele Ceuppens; Stefanie Delbeke; Dieter De Coninck; Jolien Boussemaere; Nico Boon; Mieke Uyttendaele
Journal:  Int J Environ Res Public Health       Date:  2015-08-21       Impact factor: 3.390

  2 in total

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