Modeling Microbial Responses in Food
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advanced microbial growth modeling applications
artificial
Baranyi Model
Category=YPMP1
Central Composite Design
Cfu Ml-1
Data Set
environmental stress adaptation
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
experimental design methods
Food MicroModel
food safety modeling
Germination Kinetics
HACCP Plan
inactivation
inoculum
Lactic Acid
Lag Times
Linear Model
Maximum Specific Growth Rate
microbial ecology analysis
microbial variability assessment
microbiology
Model Fitting
network
neural
Nonlinear Regression Models
Opt Opt Opt
Pathogen Modeling Program
Point Estimate Model
predictive
Predictive Food Microbiology
Predictive Microbiology
Quantitative Microbial Risk Assessments
Risk Assessment
Shelf Life
size
Specific Growth Rate
Square Root Model
Stochastic Assumption
Survival Curves
uncertainty quantification
water
Product details
- ISBN 9780849312373
- Weight: 620g
- Dimensions: 156 x 234mm
- Publication Date: 29 Dec 2003
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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The first state-of-the-art review of this dynamic field in a decade, Modeling Microbial Responses in Foods provides the latest information on techniques in mathematical modeling of microbial growth and survival. The comprehensive coverage includes basic approaches such as improvements in the development of primary and secondary models, statistical fitting strategies, and novel data collection methods.
An international team of experts explore important developing areas, including specific applications, challenges in applying models to foods, variability and uncertainty, and new modeling strategies. The authors present detailed descriptions of non-linear regression fitting, methods, approaches relevant to 'real world' situations, and extensive applications of predictive models. They conclude by highlighting the strengths and weaknesses in the field and areas for future work, and attempt to resolve some of the outstanding conflicts.
The book includes strategies for combining databases, improving researcher networks, and standardization of applications packages. Providing the uninitiated with enough information to begin developing their own models, Modeling Microbial Responses in Foods covers all aspects of growth and survival modeling from the primary stage of gathering data to the implementation of final models in appropriate delivery systems.
Robin C. McKellar, Xuewen Lu
