predictive micro Flashcards

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1
Q

defn

A

integrates traditional models, information systems and technology to estimate behaviour of microorganisms under certain conditions

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2
Q

concept of P.M

A

MO can react reproducibly to environmental conditions.
If environment ca be measured then MO growth, survival and death can be predicted.

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3
Q

Goal of PM

A

develop mathematical equations that describe the behaviour of MO under different environmental factors

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4
Q

how does this aid the food industry

A

allows for the estimation of shelf-life of foods and gives insights into how environment changes can affect spoilage

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5
Q

How are predicitve models are made

A
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6
Q

environmental conditions

A

temperature,pH, water activity

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7
Q
A

Gather data on the growth characteristics of the specific microorganism of interest under varying conditions
Conduct controlled experiments, Use mathematical equations to describe the relationship between microbial growth and environmental factors.

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8
Q

Primary models

A

(describing microbial growth under constant conditions)

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9
Q

secondary models

A

(incorporating the effects of changing conditions).

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10
Q

modelling programs

A

combase, PMP, Sym’previus

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11
Q

Applications of PM

A

HACCP, Risk Assessment, Microbial shelf life studies, product R&D

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12
Q

Microbial Shelf life studies

A

prediction of growth of specific food pathogens

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13
Q

R&D

A

effect of altering product composition on food safety and spoilage

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14
Q

temperature function integration

A

consequences of temperature in the cold chain for safety and spoilage

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15
Q

PM and product innovation

A

assessing speed of microbial proliferation, growth limits, or inactivation rate associated with particular food formulations and/or process conditions in order to develop new products and processes, reformulate existing products, determine storage conditions and shelf-life.

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16
Q

PM and operation support

A

supporting food safety decisions that need to be made when implementing or running a food manufacturing operation such as setting CCPs in HACCP.

17
Q

incident support

A

estimating the impact on consumer safety or product quality in the case of problems with products on the market

18
Q

limitations

A

environment is not always known
usually predict faster growth than observed so this makes them fail-safe.
cannot be extrapolated outside ranges
models derived in static conditions may not be applucable to fluctuating conditions