P3-158 Meta-analysis of Microbial Thermal Inactivation Response Data and Experimental Replication Errors via ComBase

Wednesday, August 6, 2014
Exhibit Hall D (Indiana Convention Center)
Ian Hildebrandt, Michigan State University, East Lansing, MI
Bradley Marks, Michigan State University, East Lansing, MI
Introduction: Microbial inactivation models are built on the foundation of observed microbial responses to treatment variables over time. The impact of experimental and replication errors on model uncertainty is generally poorly reported; however, the resulting model accuracy and utility are inherently linked to the original experimental errors.

Purpose: The objective was to conduct a quantitative meta-analysis of experimental inactivation data reported in the Combined Database for Predictive Microbiology (ComBase), to examine factors affecting replication errors.

Methods: The entire collection of data in ComBase (current as of 18 March 2013) was acquired and consisted of ~45,000 data records, ~30,000 which contained time series data, and ~3,500 which were classified as thermal inactivation trials. A data mining and analysis program was coded (within Microsoft Excel) to identify and extract data from experiments reporting replicate data records, and then calculate replication error as a function of time, temperature, and source categorization.  Data were discriminated by organism, product, product experimental conditions, methodology specifications, and temperature.

Results: Within the thermal inactivation records, beef (~19%) and laboratory media (~47%) comprised the largest fractions, and poultry, pork, produce, and low moisture foods (~5, ~2, ~2, and ~1%, respectively) a much smaller portion. Of the ~3,500 records, the median replication errors for experiments using poultry or pork were 0.045  and 0.028 log(CFU/g), respectively, while experiments using beef or produce were closer to the median global replication error across all inactivation records (0.184, 0.198 and 0.159 log(CFU/g)).

Significance: Based on the evaluation of ComBase records, there is a significant impact of test medium on replication errors in thermal inactivation studies. Additionally, there is a critical underrepresentation of key food categories in inactivation trials within the database.