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academies
March 07-09, 2019 | London, UK
2nd International Conference on
7th International Conference on
Food Safety and Hygiene
Nutrition, Food Science and Technology
Joint Event
&
Journal of Food Technology and Preservation | Volume 3
Contemporary predictive Microbiology for Food safety and quality
John P Bowman
University of Tasmania, Australia
Predictive microbiology has been termed the quantitative
microbial ecology of foods – the behaviours of bacteria
and other microorganisms in foods and food processing
environments including growth, survival, death and cross-
contamination. By measuring the patterns of growth and
inactivation and summarising data as mathematical models,
they can be used to rapidly assess the behaviour of given
food-associated microbes reducing the need to do extensive
experimentation. Recently we have established an online, user
friendly platformcalled CB-Premium .
org/) that allows ready access to a continually expanding suite
of predictive models. We see CB-Premium allowing rapid
development of safety plans for many food commodities and
for all major pathogens. CB Premium extends the value of
ComBase , a large
international database of quantitative microbial growth data
for foods. Alongside CB-Premium and ComBase, we continue
to actively develop predictive models that extend to prediction
of shelf-life of perishable foods. Specifically, we have developed
and validated models to predict shelf-life end points of chilled
vacuum-packed red meat that should be flexibly applicable
within domestic and export meat supply chains. Such models
have been developed with the concept that they are most
reliable when there is assurance of consistent product hygiene
and through use of appriopiate and/or innovative hurdle
technology. Successful implementation of such models could
be useful in developing models for other food commodities,
especialy in the convenience RTE sector, providing the
opportunity to not only keep food safe and nutritious but also
contributing to food wastage reduction.
e:
J Food Technol Pres, Volume 3
DOI: 10.4066/2591-796X-C1-006