Research, Technology and Development IV
RTD Leader: Bruno Biavati, BU, Italy
WP13 Application in the Food
Chain
WP Leader: Bruno Biavati, BU, ITALY
This WP will disseminate the research including results obtained in food
and feed model systems into practical application in the food chain.
Several different food chains have been selected for the transfer.
The transfer into practical application in this WP will comprise the food
processing SME Partners of PathogenCombat, i.e. Partners
28-29, 31-35 and 46-47. Of
these, three are producing poultry products; four are dairies producing
cheese and one produces dry ham from pork. One is producing poultry, beef
and pork. Two are producing beef and lamb.
The dissemination and transfer into practical application will include:
1. The culture independent techniques,
microarrays and resuscitation and enrichment methods developed and
validated in WP4, WP5,
WP6 and WP15.
2. The protective and probiotic cultures
identified in WP10.
3. Hygienic processing systems
WP11.
4. Novel processing technologies developed in
WP12.
5. Good hygienic practice for animal
production at farm level with special emphasis on prevention of pathogens
in cheese and milk, poultry, pigs, beef and lamb.
6. Water as a source of contamination with
pathogens (WP13).
7. Further development and implementation of
the Food Safety Management System designed in WP15.
For primary production and feed mills the experience gained from
Salmonella programmes in Sweden and The Netherlands will be used.
Assistance will be provided by Partner 1 and
Partner 43.
For beef and lamb good hygienic practice at farm level will be the
responsibility of Partner 42. Processing of beef and lamb
will be taken care of by Partner 36. The overall
responsible for beef and lamb will be Partner 17.
For water the potential role in foodborne disease and the distribution of
pathogens to various types of processed commodities is well known. The
food-water route in dissemination of C. jejuni has been well
described. Recognised outbreaks caused by this pathogen are usually caused
by contaminated water, milk or poultry. Similarly, L.
monocytogenes has been shown to survive in water for long periods. The
water-food route is therefore an essential point for monitoring the
occurrence and preventing the spread of pathogens, and particular attention
will be given to water in this WP. Partner 48 will be responsible.
Training, NTC II, is an important condition of the
application in the food chain. The time schedule of the training activities
and the Partners responsible are described in Section 6.2.
This WP will include the following tasks:
Task 13.1 Application in SME milk and
cheese production
Task 13.2 Application in SME poultry
processing
Task 13.3 Application in SME pork
processing
Task 13.4 Application in SME beef and
lamb processing
Task 13.5 Water as a source of
contamination in SMEs
Partner 5, Partner 17, Partner 18, Partner 19, Partner 37
and Partner 48, the SME Partners: Partner 26,
Partner 28, Partner 29, Partner 30, Partner 31, Partner 32, Partner
33, Partner 34 and Partner 46 and the
industrial Partner 27 and Partner 47 will be
involved in this WP.
WP14 Modelling microbial population behaviour throughout the food
chain - estimation of microbial food safety risk
WP Leader: Tom McMeekin, AFSCoE, Australia
This WP will collate the information and knowledge generated in
WP8, WP9, WP10,
WP12, WP13 and WP15, and
generate this new knowledge into a form, which can be used to develop
effective food safety management strategies and to support food safety
management decisions in WP13.
It is recognised that major risk assessments that have been undertaken to
date have been very labour intensive and that more efficient approaches are
required including the identification of processes/operations common to
many foods (termed a “module”) and the development of detailed and rigorous
generic (conceptual) models of those processes. The modules will be made
specific for specific products by inclusion of product/process specific
data. This approach has been termed Modular Process Risk Models (MPRM).
To estimate the numbers of microorganisms and amount at fungal biomass
present at the time of eating from levels known at some earlier time in the
products history requires a sound and quantitative knowledge of the
responses of microorganisms to the environmental conditions they experience
in food. Predictive microbiology models satisfy this objective and will be
embedded into farm to fork risk assessment models. In this WP Stochastic
models based on numbers and virulence of pathogens provided by WP8, WP9,
WP10, WP12 and WP13 will be available and similar models will be developed
for growth of P. nordicum and expression of ochratoxin
biosynthetic genes based upon data from WP2, WP8 and WP13. These models
will lead to estimation of microbial food safety risk based on numbers and
virulence of pathogens including growth and ochratoxin formation by
filamentous fungi.
The WP will include the following tasks:
Task 14.1
Identification of CCP by use of stochastic simulation models based upon
quantification of numbers of pathogens including mycotoxin producing fungi
and their virulence/toxcicity expression along the entire food chain.
Task 14.2 Estimation of
microbial food safety risk at time of consumption based upon stochastic
simulation modelling of number of pathogens and their virulence/toxcicity
gene expression.
Partner 14, Partner 18 and Partner 36
will be involved in this WP.
- last update:27 April 2006