Global sensitivity analysis applied to food safety risk assessment

This study proposes an example of the implementation of the global sensitivity analysis developed by Saltelli in the frame of the contamination assessment of Listeria monocytogenes in smoked salmon at consumption. This method allowed identifying subsets of relevant parameters among the input variables of the model characterized by a great variability and/or uncertainty. This example illustrates the significance to perform these studies for food safety risk assessment models in order to identify the most influential parameters justifying management options, to identify parameters that need to be further studied, and to simplify models when complexity is not justified.

[1]  Marcel H. Zwietering,et al.  Sensitivity analysis in quantitative microbial risk assessment. , 1999 .

[2]  Ilya M. Sobol,et al.  Sensitivity Estimates for Nonlinear Mathematical Models , 1993 .

[3]  Hong Yang,et al.  Consumer Phase Risk Assessment for Listeria monocytogenes in Deli Meats , 2006, Risk analysis : an official publication of the Society for Risk Analysis.

[4]  Marie Laure Delignette-Muller,et al.  Quantitative Risk Assessment of Listeria monocytogenes in French Cold‐Smoked Salmon: II. Risk Characterization , 2009, Risk analysis : an official publication of the Society for Risk Analysis.

[5]  A. Saltelli,et al.  Importance measures in global sensitivity analysis of nonlinear models , 1996 .

[6]  E. Borgonovo.  Measuring Uncertainty Importance: Investigation and Comparison of Alternative Approaches , 2006, Risk analysis : an official publication of the Society for Risk Analysis.

[7]  M. Delignette-Muller,et al.  Biological variability and exposure assessment. , 2000, International journal of food microbiology.

[8]  Marcel H Zwietering,et al.  Quantitative risk assessment: is more complex always better? Simple is not stupid and complex is not always more correct. , 2009, International journal of food microbiology.

[9]  George-John E. Nychas,et al.  Probabilistic Model for Listeria monocytogenes Growth during Distribution, Retail Storage, and Domestic Storage of Pasteurized Milk , 2010, Applied and Environmental Microbiology.

[10]  Marie Laure Delignette-Muller,et al.  Quantitative Risk Assessment of Listeria monocytogenes in French Cold‐Smoked Salmon: I. Quantitative Exposure Assessment , 2007, Risk analysis : an official publication of the Society for Risk Analysis.

[11]  K.,et al.  Nonlinear sensitivity analysis of multiparameter model systems , 1977 .

[12]  Mariem Ellouze,et al.  Global Sensitivity Analysis Applied to a Contamination Assessment Model of Listeria monocytogenes in Cold Smoked Salmon at Consumption , 2010, Risk analysis : an official publication of the Society for Risk Analysis.

[13]  J. Membré,et al.  Use of sensitivity analysis to aid interpretation of a probabilistic Bacillus cereus spore lag time model applied to heat-treated chilled foods (REPFEDs). , 2008, International journal of food microbiology.

[14]  A. Valero,et al.  Linking quantitative exposure assessment and risk management using the food safety objective concept: an example with Listeria monocytogenes in different cross-contamination scenarios. , 2006, Journal of food protection.

[15]  H Christopher Frey,et al.  OF SENSITIVITY ANALYSIS , 2001 .

[16]  A. Saltelli,et al.  Making best use of model evaluations to compute sensitivity indices , 2002 .

[17]  H Christopher Frey,et al.  Comparison of Sensitivity Analysis Methods Based on Applications to a Food Safety Risk Assessment Model , 2004, Risk analysis : an official publication of the Society for Risk Analysis.

[18]  M H Zwietering,et al.  Quantitative microbiological risk assessment as a tool to obtain useful information for risk managers--specific application to Listeria monocytogenes and ready-to-eat meat products. , 2010, International journal of food microbiology.