Literature DB >> 11934047

Predictive microbiology: towards the interface and beyond.

T A McMeekin1, J Olley, D A Ratkowsky, T Ross.   

Abstract

This review considers the concept and history of predictive microbiology and explores aspects of the modelling process including kinetic and probability modelling approaches. The "journey" traces the route from reproducible responses observed under close to optimal conditions for growth, through recognition and description of the increased variability in responses as conditions become progressively less favourable for growth, to defining combinations of factors at which growth ceases (the growth/no growth interface). Death kinetics patterns are presented which form a basis on which to begin the development of nonthermal death models. This will require incorporation of phenotypic, adaptive responses and may be influenced by factors such as the sequence in which environmental constraints are applied. A recurrent theme is that probability (stochastic) approaches are required to complement or replace kinetic models as the growth/no growth interface is approached and microorganisms adopt a survival rather than growth mode. Attention is also drawn to the interfaces of predictive microbiology with microbial physiology, information technology and food safety initiatives such as HACCP and risk assessment.

Mesh:

Year:  2002        PMID: 11934047     DOI: 10.1016/s0168-1605(01)00663-8

Source DB:  PubMed          Journal:  Int J Food Microbiol        ISSN: 0168-1605            Impact factor:   5.277


  15 in total

1.  Use of stochastic models to assess the effect of environmental factors on microbial growth.

Authors:  José Miguel Ponciano; Frederik P J Vandecasteele; Thomas F Hess; Larry J Forney; Ronald L Crawford; Paul Joyce
Journal:  Appl Environ Microbiol       Date:  2005-05       Impact factor: 4.792

2.  Individual-based modelling: an essential tool for microbiology.

Authors:  Jordi Ferrer; Clara Prats; Daniel López
Journal:  J Biol Phys       Date:  2008-07-19       Impact factor: 1.365

3.  Food Microstructure and Fat Content Affect Growth Morphology, Growth Kinetics, and Preferred Phase for Cell Growth of Listeria monocytogenes in Fish-Based Model Systems.

Authors:  Davy Verheyen; Xiang Ming Xu; Marlies Govaert; Maria Baka; Torstein Skåra; Jan F Van Impe
Journal:  Appl Environ Microbiol       Date:  2019-08-01       Impact factor: 4.792

4.  Effect of microstructure on population growth parameters of Escherichia coli in gelatin-dextran systems.

Authors:  Kathleen Boons; Estefanía Noriega; Rob Van den Broeck; Charlotte C David; Johan Hofkens; Jan F Van Impe
Journal:  Appl Environ Microbiol       Date:  2014-06-20       Impact factor: 4.792

5.  Stress- and growth rate-related differences between plate count and real-time PCR data during growth of Listeria monocytogenes.

Authors:  Franziska Reichert-Schwillinsky; Carmen Pin; Monika Dzieciol; Martin Wagner; Ingeborg Hein
Journal:  Appl Environ Microbiol       Date:  2009-01-30       Impact factor: 4.792

6.  Modeling the growth/no-growth boundaries of postprocessing Listeria monocytogenes contamination on frankfurters and bologna treated with lactic acid.

Authors:  Yohan Yoon; Patricia A Kendall; Keith E Belk; John A Scanga; Gary C Smith; John N Sofos
Journal:  Appl Environ Microbiol       Date:  2008-11-14       Impact factor: 4.792

7.  Evaluation of a Clostridium perfringens predictive model, developed under isothermal conditions in broth, to predict growth in ground beef during cooling.

Authors:  Sarah Smith; Donald W Schaffner
Journal:  Appl Environ Microbiol       Date:  2004-05       Impact factor: 4.792

8.  Antimicrobial activity of aroma compounds against Saccharomyces cerevisiae and improvement of microbiological stability of soft drinks as assessed by logistic regression.

Authors:  Nicoletta Belletti; Sylvain Sado Kamdem; Francesca Patrignani; Rosalba Lanciotti; Alessandro Covelli; Fausto Gardini
Journal:  Appl Environ Microbiol       Date:  2007-07-06       Impact factor: 4.792

Review 9.  Bioethanol production from fermentable sugar juice.

Authors:  Hossain Zabed; Golam Faruq; Jaya Narayan Sahu; Mohd Sofian Azirun; Rosli Hashim; Amru Nasrulhaq Boyce
Journal:  ScientificWorldJournal       Date:  2014-03-12

10.  A new search for thermotolerant yeasts, its characterization and optimization using response surface methodology for ethanol production.

Authors:  Richa Arora; Shuvashish Behera; Nilesh K Sharma; Sachin Kumar
Journal:  Front Microbiol       Date:  2015-09-01       Impact factor: 5.640

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