Sym'previus predictive microbiology software
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A decision making tool to predict microbial behavior during the food processes Sym’Previus : Prediction of microbial behavior during the food processes Noémie Desriac [email protected]
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description
Sym’Previus is a collection of tools for food safety inspections designed for food sector businesses to help: Strengthen HACCP plans, Develop new products, Better understand and quantify microbial behaviour, Determine shelf lives and improve food safety. Sym'Previus is intended for quality managers or R & D managers. It reduces the implementation lead time and the number of experimental tests. It provides arguments using the most recent predictive microbiological models. Sym’Previus expert centres offer training in its use.
Transcript of Sym'previus predictive microbiology software
A decision making tool to predict microbial behavior during the food processes
Sym’Previus :
Prediction of microbial behavior during the food processes
Noémie [email protected]
A decision making tool to predict microbial behavior during the food processes
Not ONLY a tool,but as well a network!
UNIR
A decision making tool to predict microbial behavior during the food processes
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Not ONLY a tool,but as well a network!
Supported by the French food safety authorities
A decision making tool to predict microbial behavior during the food processes
1.Food process
C1284
3.Food storage2.Transport & delivery
Estimate the risk for various scenarii
during food shelf-life?
Developed with food providers, for food providers
what is the impact of adding a natural
preservative such as lactic acid?
Determine the impact of abuse
temperature condition?
A decision making tool to predict microbial behavior during the food processes
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Sym’Previus toolbox
HACCP
assistanceProbabilistic
module
Thermal destruction
simulation
Bacterial survival
simulation
B. cereus group
affiliation (I-VII) Database
Growth
interfaces
Growth
simulation
Growth curve
fitting
The Sym’Previustools
A decision making tool to predict microbial behavior during the food processes
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Sym’Previus toolbox
HACCP
assistanceProbabilistic
module
Thermal destruction
simulation
Bacterial survival
simulation
B. cereus group
affiliation (I-VII) Database
Growth
interfaces
Growth
simulation
Growth curve
fitting
The Sym’Previustools
A decision making tool to predict microbial behavior during the food processes
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Pathogen
microorganismsSpoilage
microorganisms
9 species:Spore-formers/non Spore-formers
13 species: Spore-formers/non Spore-formers
Sym’Previus toolbox
BiodiversityA wonderful world or… a brain teaser?!
A decision making tool to predict microbial behavior during the food processes
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Sym’Previus toolbox
…with wild strains coming from food production units … and your own data-base
Pathogenic
microorganismsSpoilage
microorganisms
9 species:Spore-formers/non Spore-formers
13 species: Spore-formers/non Spore-formers
- Microbial diversity (up to 13 strains)
- Isolated from food product/ production environment
-Standardized protocols (ring trials)
A decision making tool to predict microbial behavior during the food processes
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Sym’Previus applicationPractical case
Critical steps
(critical control point CCP)?
Microbial hazards of concerns ?
pH=5.2
aw=0.99
Thawing10h/8 C
Preparation2h/25 C
Cooking 2h/90 C
Cooling Until 2 C in 2h
Storage 1/3 at 4 C and
2/3 at 8 C
Packaging 1h 4 C
A decision making tool to predict microbial behavior during the food processes
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HACCP assistanceInput/ouput
Minimum inputs
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
for wide range of outputs !
A decision making tool to predict microbial behavior during the food processes
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HACCP assistance :
Sym’Previus applicationPractical case
A decision making tool to predict microbial behavior during the food processes
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Sym’Previus applicationPractical case
HACCP assistance :
A decision making tool to predict microbial behavior during the food processes
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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)?
Sym’Previus applicationPractical case
Critical steps = heat treatmentdistribution/storage step
L. monocytogenes = Of major concern during the shelf-life!
Got it!
A decision making tool to predict microbial behavior during the food processes
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Growth interfacesInput/output
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
Minimum inputs for wide range of outputs !
A decision making tool to predict microbial behavior during the food processes
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Growth interfaces :
pH 5.2aw=0.99T=8 C
Sym’Previus applicationPractical case
A decision making tool to predict microbial behavior during the food processes
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pH 5.2aw=0.99T=8 C
+Lactate
Sym’Previus applicationPractical case
Growth interfaces :
+ lactate
A decision making tool to predict microbial behavior during the food processes
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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?
Sym’Previus applicationPractical case
The probability of L. monocytogenes growth in
that specific food product exceeds 90%
Adding the appropriate concentration of lactic
acid inhibits L. moncytogenes growth
A decision making tool to predict microbial behavior during the food processes
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Probabilistic moduleInput/output
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
Minimum inputs for wide range of outputs !
A decision making tool to predict microbial behavior during the food processes
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Sym’Previus applicationPractical case
Auto control
data
Use your own data for a tailor-made approach!
Microbial hazard prevalence
Challenge test
data
Food matrix
Food product
weight
Dynamic
factors
Realistic conditions of
storage
Sales unit contamination
probability
A decision making tool to predict microbial behavior during the food processes
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Sym’Previus applicationPractical case
Auto control
data
Microbial hazard prevalence
Challenge test
data
Food matrix
Food product
weight
Dynamic
factors
Realistic conditions of
storage
Sales unit contamination
probability
6/247 (25g)
200 g 2
Use your own data for a tailor-made approach!
A decision making tool to predict microbial behavior during the food processes
a probability of 3 %
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Sym’Previus applicationPractical case
Auto control data 6/247 31% of contaminated sales unit!
9.6% of contaminated product
will exceed the criteria of 2 log
A decision making tool to predict microbial behavior during the food processes
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Sym’Previus applicationPractical case
A decision making tool to predict microbial behavior during the food processes
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The added values
A decision making tool to predict microbial behavior during the food processes
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Sym’Previus a constantlyevolving tool…
Risk-Benefit based probabilistic assessmentPoster presentation 83
5 10 15 20 25 30 35
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NG
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G G G G G G G NG
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NG
Temperature
pH
Mycotoxin production and Yeast interface growth / no growth
Mycoto
xin
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Growth boundaries andmycotoxin production area
Poster presentation 90
A decision making tool to predict microbial behavior during the food processes
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Sym’Previus a constantlyEvolving tool…
ICPMF8 - Paris 2013 -
See you at the friendly software-demonstration to
try Sym’Previus online
A decision making tool to predict microbial behavior during the food processes
…and enjoy your stay in Paris!
Feel free to contact our network of experts or [email protected]
