Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/2442
Title: Quantitative risk assessment models for food pathogens
Authors: Baysal, Ayşe Handan
Ünlütürk, Sevcan
Keywords: Food pathogens
Risk assessment
Microbiological risk assessments
Publisher: Technical Research Center of Finland
Source: Baysal, A. H., and Ünlütürk, S. (2009). Quantitative risk assessment models for food pathogens. In G. Wirtanen, & S. Salo (Eds.), Risk Management by Hygienic Design and Efficient Sanitation Programs. Paper presented at the 3rd Seminar on Risk Management by Hygienic Design and Efficient Sanitation Programs, Tallinn, Estonia, 4-6 May (pp. 115-116). Finland: VTT.
Abstract: Risk assessment (RA) which is a holistic approach involves hazard identification, exposure assessment, dose-response assessment, and risk characterization (Oscar, 2004). Microbiological risk assessments (MRAs) have been subdivided into four steps, which comprise, hazard identification, hazard characterization, exposure assessment and risk characterization. RAs are well developed for chemical hazards, and much effort has been put into the application of this type analysis to microbial food safety risks, especially for human foodborne diseases. The methods used for MRA, as well as the underlying concepts for evaluating risk derived from foodborne organisms and the effects of control measures on reducing risk are still new to many countries including developing countries. It is important to demonstrate examples of practical data generation and modelling even if they are limited in data size.
Description: 3rd Seminar on Risk Management by Hygienic Design and Efficient Sanitation Programs; Tallinn; Estonia; 4 May 2009 through 6 May 2009
URI: http://hdl.handle.net/11147/2442
ISBN: 9789513875879
ISSN: 0357-9387
0357-9387
Appears in Collections:Food Engineering / Gıda Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Files in This Item:
File Description SizeFormat 
2442.pdfConference Paper21.41 kBAdobe PDFThumbnail
View/Open
Show full item record



CORE Recommender

Page view(s)

198
checked on Nov 18, 2024

Download(s)

54
checked on Nov 18, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.