Literature DB >> 18703250

The future of predictive microbiology: strategic research, innovative applications and great expectations.

Tom McMeekin1, John Bowman, Olivia McQuestin, Lyndal Mellefont, Tom Ross, Mark Tamplin.   

Abstract

This paper considers the future of predictive microbiology by exploring the balance that exists between science, applications and expectations. Attention is drawn to the development of predictive microbiology as a sub-discipline of food microbiology and of technologies that are required for its applications, including a recently developed biological indicator. As we move into the era of systems biology, in which physiological and molecular information will be increasingly available for incorporation into models, predictive microbiologists will be faced with new experimental and data handling challenges. Overcoming these hurdles may be assisted by interacting with microbiologists and mathematicians developing models to describe the microbial role in ecosystems other than food. Coupled with a commitment to maintain strategic research, as well as to develop innovative technologies, the future of predictive microbiology looks set to fulfil "great expectations".

Mesh:

Year:  2008        PMID: 18703250     DOI: 10.1016/j.ijfoodmicro.2008.06.026

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


  9 in total

Review 1.  Quorum sensing in the context of food microbiology.

Authors:  Panagiotis N Skandamis; George-John E Nychas
Journal:  Appl Environ Microbiol       Date:  2012-06-15       Impact factor: 4.792

2.  Predictive models for the effect of storage temperature on Vibrio parahaemolyticus viability and counts of total viable bacteria in Pacific oysters (Crassostrea gigas).

Authors:  Judith Fernandez-Piquer; John P Bowman; Tom Ross; Mark L Tamplin
Journal:  Appl Environ Microbiol       Date:  2011-10-14       Impact factor: 4.792

3.  Predictive modelling of Lactobacillus casei KN291 survival in fermented soy beverage.

Authors:  Dorota Zielińska; Zielińska Dorota; Danuta Kołożyn-Krajewska; Kołożyn-Krajewska Danuta; Antoni Goryl; Goryl Antoni; Ilona Motyl
Journal:  J Microbiol       Date:  2014-02-01       Impact factor: 3.422

Review 4.  Modernization of Control of Pathogenic Micro-Organisms in the Food-Chain Requires a Durable Role for Immunoaffinity-Based Detection Methodology-A Review.

Authors:  Aldert A Bergwerff; Sylvia B Debast
Journal:  Foods       Date:  2021-04-11

5.  Harnessing the potentials of predictive microbiology in microbial food safety and quality research in Nigeria.

Authors:  Olumide A Odeyemi; Florence A Bamidele
Journal:  Future Sci OA       Date:  2016-01-15

6.  Praedicere Possumus: An Italian web-based application for predictive microbiology to ensure food safety.

Authors:  Pierluigi Polese; Manuela Del Torre; Mara Lucia Stecchini
Journal:  Ital J Food Saf       Date:  2018-04-09

Review 7.  Bacillus cereus cell response upon exposure to acid environment: toward the identification of potential biomarkers.

Authors:  Noémie Desriac; Véronique Broussolle; Florence Postollec; Anne-Gabrielle Mathot; Danièle Sohier; Louis Coroller; Ivan Leguerinel
Journal:  Front Microbiol       Date:  2013-10-02       Impact factor: 5.640

8.  Effect of combined function of temperature and water activity on the growth of Vibrio harveyi.

Authors:  Kang Zhou; Meng Gui; Pinglan Li; Shaohua Xing; Tingting Cui; Zhaohui Peng
Journal:  Braz J Microbiol       Date:  2012-06-01       Impact factor: 2.476

Review 9.  Colonial vs. planktonic type of growth: mathematical modeling of microbial dynamics on surfaces and in liquid, semi-liquid and solid foods.

Authors:  Panagiotis N Skandamis; Sophie Jeanson
Journal:  Front Microbiol       Date:  2015-10-29       Impact factor: 5.640

  9 in total

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