Importance of predictive microbiology for risk minimization in food production processes - 1. Model development, application software, model validation
J. Kleer et G. Hildebrandt, Importance of predictive microbiology for risk minimization in food production processes - 1. Model development, application software, model validation, FLEISCHWIRT, 81(6), 2001, pp. 99-103
Efforts to develop Predictive Microbiology (PM), a rather recent discipline
of food hygiene, are made in England (ROBERTS, BARANYI, et al.), the USA (
BUCHANAN, WHITING, et al.) and Australia (MCMEEKIN, et al.) since about 15
years. From inoculation experiments in laboratory media, PM derives equatio
ns to describe quantitatively in the behaviour of microorganisms in foods i
n dependence of intrinsic and extrinsic factors (controlling factors). Mean
while, numerous growth, survival and thermal inactivation (death) model hav
e been elaborated for the most important foodborne pathogens. The Food Micr
oModel and the Pathogen Modeling Program are available as user friendly app
lication software. Although all PM models are simplifications of the biolog
ical mechanisms and the presently available models still have their limitat
ions, comparisons with independent data from literature indicate that predi
ctions of most models are in the worst case fail-safe and their systematic
errors do not exceed those of inoculated pack experiments. Once a model has
been validated for a type of food, it can be applied at all stages of food
production and distribution. PM models are already used to conduct HACCP s
tudies and are powerful tools for microbiological risk assessment, in parti
cular.