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Sym’Previus : Prediction of microbial behavior during the food processes. Noémie Desriac symprevius@adria.tm.fr. Not ONLY a tool, but as well a network!. UNIR. Not ONLY a tool, but as well a network!. Supported by the French food safety authorities. Developed with food providers,
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Sym’Previus : Prediction of microbial behavior during the food processes Noémie Desriac symprevius@adria.tm.fr
Not ONLY a tool, but as well a network! UNIR symprevius@adria.tm.fr
Not ONLY a tool, but as well a network! Supported by the French food safety authorities
Developed with food providers, for food providers °C 12 8 4 what is the impact of adding a natural preservative such as lactic acid? Determine the impact of abuse temperature condition? Estimate the risk for various scenarii during food shelf-life? 3.Food storage 1.Food process 2.Transport & delivery symprevius@adria.tm.fr
Sym’Previus toolbox HACCP assistance Probabilistic module The Sym’Previus tools Growth interfaces Thermal destruction simulation Growth simulation Bacterial survival simulation Growth curve fitting B. cereus group affiliation (I-VII) Database symprevius@adria.tm.fr
Sym’Previus toolbox HACCP assistance Probabilistic module The Sym’Previus tools Growth interfaces Thermal destruction simulation Growth simulation Bacterial survival simulation Growth curve fitting B. cereus group affiliation (I-VII) Database symprevius@adria.tm.fr
Sym’Previus toolbox Pathogen microorganisms Spoilage microorganisms 9 species: Spore-formers/non Spore-formers 13 species: Spore-formers/non Spore-formers • Biodiversity • A wonderful world or… a brain teaser?!
Sym’Previus toolbox Pathogenic microorganisms Spoilage microorganisms 13 species: Spore-formers/non Spore-formers 9 species: Spore-formers/non Spore-formers • - Microbial diversity (up to 13 strains) • Isolated from food product/ production environment • Standardized protocols (ring trials) …with wild strains coming from food production units … and your own data-base Confidential symprevius@adria.tm.fr
Sym’Previus application Practical case Thawing 10h/8°C Preparation 2h/25°C Cooking 2h/90°C Cooling Until 2°C in 2h Packaging 1h 4°C pH=5.2 aw=0.99 Storage 1/3 at 4°C and 2/3 at 8°C HACCP assistance • Critical steps • (critical control point CCP)? • Microbial hazards of concerns ? symprevius@adria.tm.fr
HACCP assistance Input/ouput Minimum inputs for wide range of outputs ! Microorganisms (Sym’Previus possibilities) Food properties (pH, aw) Food processes (T, t, thawing, storage…) Impact of each process step on microorganism behavior (growth/inactivation) The hazards of concerns at each process step symprevius@adria.tm.fr
Sym’Previus application Practical case HACCP assistance :
Sym’Previus application Practical case HACCP assistance : Recontamination
Sym’Previus application Practical case • Critical steps = heat treatment • distribution/storage step • L. monocytogenes = Of major concern during the shelf-life! Growth interfaces Got it! • What is the growth probability of L. moncytogenes in that specific food product? • How to limit the growth of L. monocytogenes, • for instance what is the impact of adding a natural preservative such as lactic acid (0.6g/100g)?
Growth interfaces Input/output Minimum inputs for wide range of outputs ! Microorganisms (Sym’Previus strains and related data, OR your own strains and data) Food properties (pH, aw) Food storage (T, lactate) Growth-no growth interfaces symprevius@adria.tm.fr
Sym’Previus application Practical case Growth interfaces : pH 5.2 aw=0.99 T=8°C symprevius@adria.tm.fr
Sym’Previus application Practical case Growth interfaces : + lactate pH 5.2 aw=0.99 T=8°C +Lactate symprevius@adria.tm.fr
Sym’Previus application Practical case • The probability of L. monocytogenesgrowth in that specific food product exceeds 90% • Adding the appropriate concentration of lactic acid inhibits L. moncytogenes growth Probabilistic module • And now, what about the shelf-life? • “Hum, the marketing would like OF COURSE to extend that shelf-life, is that realistic?” • What is the risk based regulation criteria? symprevius@adria.tm.fr
Probabilistic module Input/output Minimum inputs for wide range of outputs ! Microorganisms (Sym’Previus strains and related data, OR your own strains and data) Food/microorganism (challenge test, auto control data) Food storage (T, pH profiles…) Contamination evolution Factor effect Growth simulation Sensitivity analysis symprevius@adria.tm.fr
Sym’Previus application Practical case Use your own data for a tailor-made approach! Dynamicfactors Auto control data Challenge test data Food productweight Realistic conditions of storage Food matrix Sales unit contamination probability Microbial hazard prevalence symprevius@adria.tm.fr
Sym’Previus application Practical case Use your own data for a tailor-made approach! Dynamicfactors Auto control data Challenge test data Food productweight 6/247 (25g) 200 g ± 2 Realistic conditions of storage Food matrix Sales unit contamination probability Microbial hazard prevalence symprevius@adria.tm.fr
Sym’Previus application Practical case Auto control data 6/247 31% of contaminated sales unit! 9.6% of contaminated product will exceed the criteria of 2 log a probability of 3 % symprevius@adria.tm.fr
Sym’Previus application Practical case « New in 2013 » symprevius@adria.tm.fr
The added values A process overview and an hazard identification save time and costs associated to food shelf-life determination symprevius@adria.tm.fr
Sym’Previus a constantly evolving tool… Growth boundaries and mycotoxin production area Poster presentation 90 Risk-Benefit based probabilistic assessment Poster presentation 83
Sym’Previus a constantly Evolving tool… See you at the friendly software-demonstration to try Sym’Previus online Thank you for your attention ICPMF8 - Paris 2013 -
…and enjoy your stay in Paris! Feel free to contact our network of experts or symprevius@adria.tm.fr