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Institute of Food Research. ComBase Workshop Norwich, 17th January 2007. Presenters: J. Baranyi, C. Pin, Y. Le Marc, A. Métris Facilitator: L. Swift. The interface of IFR with the Industry. What Does the Network offer? Access to the latest research into food issues

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combase workshop norwich 17th january 2007

Institute of Food Research

ComBase WorkshopNorwich, 17th January 2007

Presenters: J. Baranyi, C. Pin, Y. Le Marc, A. Métris

Facilitator: L. Swift

slide2

The interface of IFR with the Industry

What Does the Network offer?

  • Access to the latest research into food issues
  • Seminars, conferences and workshops on topics you help define
  • A forum for national and international industry-science networking
  • Input to the development of research projects so they respond to industry needs
  • Science communication, newsletters, website with members-only features
  • Discussion of confidential issues relevant to individual members via F&HN Direct
clusters
Clusters
  • Predictive Microbiology and Risk Analysis - Dr Jozsef Baranyi
  • Co-Product Exploitation- Dr Keith Waldron
  • Barriers - This Cluster has moved from events to research projects - Dr Steve Ring
  • Quality Throughout Shelf-Life - Dr Reg Wilson
  • Food Structure and Nutrition- Dr Pete Wilde
  • Allergy - Dr Clare Mills
  • Pathway to Personalised Nutrition - Dr Siân Astley
  • F&HN Direct - Prof Tim Brocklehurst, Head of Food & Health Network
slide4

Modular Training for the Industry: Predictive Microbiology for the Food Industry

Purpose:

  • To understand the concepts and practise of predictive modelling and risk assessment;
  • Via computer-based predictive modelling tools including ComBase;
  • To enable participants to use modelling tools in combination with the ComBase database and their own data to predict likely food safety scenarios that are relevant to their own needs.
slide5

Modular Training for the Industry: Predictive Microbiology for the Food Industry

3 years project; 2 workshops per year; next workshop 13th June 2007.

  • Evaluation form
  • Certificate of attendance available

For up-to-date information: http://www.combase.cc; http://www.foodandhealthnetwork.com/

pred micro software packages
Pred. micro software packages

Pathogen Modelling Program

(PMP, USDA Eastern Regional Research Centre, Wyndmoor, PA, USA): www.arserrc.gov/mfs/pathogen.htm

Food MicroModel (FMM, Leatherhead Food Research Association, UK): www.lfra.co.uk

Forecast (Campden and Chorleywood Food Research Association, UK): +44 (0)1386 842071 (Buro service, not software).

Seafood Spoilage Predictor (SSP, Institute of Fisheries Research, Denmark): www.dfu.min.dk/micro/ssp

Food Spoilage Predictor (FSP, University of Tasmania, Australia): www.hdl.com.au/html/body_fsp.htm

maff predictive microbiology programme 1987 1992 taken over by fsa
MAFF Predictive Microbiology Programme 1987 - 1992taken over by FSA

Similar initiative at USDA

Food MicroModel vs.Pathogen Modeling Program

combase consortium to set up a database on microbial responses to food environments

EU support: 2yrs Accompanying Measures project to populate ComBase by data from European Supporting Partners.

Australian Food Safety Centre of Excellence joined the initiative

ComBase Consortium to set up a database on microbial responses to food environments

US Department of Agriculture,

Agricultural Research Service

FSA, UK

Institute of Food Research, Norwich, UK

Eastern Regional Research Center

Wyndmoor, PA, USA

www.combase.cc

slide10

Raw data

Excel sheets

From data to ComBase:

Checking, modelling

Easy programming

Familier face

Browser, combined with predictions

Big capacity,

fast data retrieve

Access tables

combase system of data and programs
ComBase: system of data and programs
  • Excel version of the database: connected sheets (tables). This version is used for modelling, since maintenance programs and statistical, mathematical macros (for modelling purposes) are easily available for Excel.
  • Maintenance and modelling kit: Excel Visual Basic macros.
  • Access version of the database: The same tables as in Excel. After inputting, checking in Excel, the data are transferred to the Access, which has higher capacity and faster search speed.
  • ComBase Browser: Built on the Access version, navigates in the database in a user-friendly way.
slide14

e-COMBASE SUPPORTING INSTITUTES contributing to ca 20% of ComBase

SUPPORT. One record = one response (generally logcount curve) to one combination of conditions

data in combase v 4
Data in ComBase v.4

≈ 32 K records on pathogens; 2/3 full log-count curves

≈ 6 K on spoilage organisms; 1/3 growth/death rates

1 record = 1 observed response to a particular environment

combase users
ComBase users

(telling from the email addresses)

data source distribution
Data source distribution

Data source:

7 K USDA-ARS;

5 K EU, e-ComBase;

10 K FSA-FMM;

16 KLiterature, collab.

USDA-ARS

Literature,

collaboration

EU

Supporting Inst.

e

-

ComBase

project

FSA-FMM

(data behind

Food MicroModel

main organisms featured in combase
Main organisms featured in ComBase

Aeromonas hydrophila, sobria, caviae Pseudomonads

Bacillus subtilis, cereus (spores and veg.) Lacticacidbacteria

Clostridium perfringens, botulinum spores Brochothrixthermosphacta

Escherichia coli (also NPEC) Enterobacteria

Listeria monocytogenes and innocua psychrotrophicbact.

Staphylococcus aureus Totalmeatspoilageflora

Shigella flexneri

Salmonellae Saccharomyces cerevisiae

Yersinia enterocolitica Campylobacter jejuni

combase roadmap
ComBase roadmap
  • ca 2-3,000 more records each year;
  • www.combase.cc hosted at IFR, serves as a hub linked to related applications;
  • a main link isthe actual database that can be browsed on the ARS web site;
  • ComBase raw data on CD to be made available
  • Pathogen Modeling Program (PMP - US) and Growth Predictor (GP - UK) carry on (only prediction, no raw data);
  • - In 2007 : ComBase-PMP: Combined database and Predictive Microbiology Program
predictors
Predictors

Unified improved predictive models in ComBase-PMP

Combined Database and Predictive Microbiology Program

Until then: USDA-ARS ERRC Pathogen Modeling Program ahttp://www.arserrc.gov/mfs/pathogen.htm

GrowthPredictor, the successor of Food MicroModel is available at:http://www.ifr.ac.uk/Safety/GrowthPredictor

FSA – IFRGrowthPredictor

database to create and to validate models
Database to create and to validate models

Primary models

ComBase

Secondary models

Predictions

Model validation

combase invited seminars and workshops 2003 2006
ComBase invited seminars and workshops, 2003 - 2006

"ComBase can be a watershed in the development of Predictive Microbiology and its applications"

Tom McMeekin, Director of Australian Food Safety Centre of Excellence

Norwich

London

Quimper

Budapest

Brescia

Philadelphia

Pamplona

Bologna

Valencia

Madrid

Slovenia

Denver

Washington

Crete

Athens

New Orleans

Monterrey

Queretaro

Bangkok

Bogotá

Kuala Lumpur

"ComBase is an exemplar of the way that governments and the research community can successfully work together to help improve the safety of food products“

Jon Bell, CEO, Food Standards Agency

Sydney

Melbourne

Hobart

ComBase web site: ca 2000 hits per month (without automated search engines)

set up query
Set up query

www.combase.cc

the end
The End

The End