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ComBase Workshop Norwich, 17th January 2007

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

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  1. Institute of Food Research ComBase WorkshopNorwich, 17th January 2007 Presenters: J. Baranyi, C. Pin, Y. Le Marc, A. Métris Facilitator: L. Swift

  2. 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

  3. 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

  4. 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.

  5. 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/

  6. Institute of Food Research Predictive microbiology and the ComBase story József Baranyi

  7. 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

  8. MAFF Predictive Microbiology Programme 1987 - 1992taken over by FSA Similar initiative at USDA Food MicroModel vs.Pathogen Modeling Program

  9. 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

  10. 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

  11. 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.

  12. Excel tables (sheets) related by keys

  13. Microsoft Access tables related by keys

  14. e-COMBASE SUPPORTING INSTITUTES contributing to ca 20% of ComBase SUPPORT. One record = one response (generally logcount curve) to one combination of conditions

  15. 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

  16. ComBase users (telling from the email addresses)

  17. 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

  18. 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

  19. 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

  20. 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

  21. Database to create and to validate models Primary models ComBase Secondary models Predictions Model validation

  22. 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)

  23. ComBase (www.combase.cc)

  24. Set up query www.combase.cc

  25. Display selected records www.combase.cc

  26. Automatic link to a fitting program www.combase.cc

  27. Compare observations with results from ComBase Predictor www.combase.cc

  28. The End The End

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