Literature DB >> 12505459

Performance evaluation of a model describing the effects of temperature, water activity, pH and lactic acid concentration on the growth of Escherichia coli.

L A Mellefont1, T A McMeekin, T Ross.   

Abstract

A square root-type model for Escherichia coli growth in response to temperature, water activity, pH and lactic acid was developed by Ross et al. [Int. J. Food Microbiol. (2002).]. Predicted generation times from the model were compared to the literature data using bias and accuracy factors, graphical comparisons and plots of residuals for data obtained from both liquid growth media and foods. The model predicted well for 1025 growth rate estimates reported in the literature after poor quality or unrepresentative data (n=215) was excluded, with a bias factor of 0.92, and an accuracy factor of 1.29. In a detailed comparison to two other predictive modes for E. coli growth, Pathogen Modeling Program (PMP) and Food MicroModel (FMM), the new model generally performed better. The new model consistently gave better predictions than the other models at generation times </=5 h. Inclusion of the lactic acid term in the model is proposed to account for the consistently good performance of the model for comparisons to growth in meat, a parameter that is not explicitly included in the other models considered in the comparisons.

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Year:  2003        PMID: 12505459     DOI: 10.1016/s0168-1605(02)00253-2

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


  11 in total

Review 1.  Unraveling microbial interactions in food fermentations: from classical to genomics approaches.

Authors:  Sander Sieuwerts; Frank A M de Bok; Jeroen Hugenholtz; Johan E T van Hylckama Vlieg
Journal:  Appl Environ Microbiol       Date:  2008-06-20       Impact factor: 4.792

2.  Comparing nonsynergy gamma models and interaction models to predict growth of emetic Bacillus cereus for combinations of pH and water activity values.

Authors:  Elisabeth G Biesta-Peters; Martine W Reij; Marcel H Zwietering; Leon G M Gorris
Journal:  Appl Environ Microbiol       Date:  2011-06-24       Impact factor: 4.792

3.  Modeling the Emergence of Antibiotic Resistance in the Environment: an Analytical Solution for the Minimum Selection Concentration.

Authors:  Ben K Greenfield; Shanna Shaked; Carl F Marrs; Patrick Nelson; Ian Raxter; Chuanwu Xi; Thomas E McKone; Olivier Jolliet
Journal:  Antimicrob Agents Chemother       Date:  2018-02-23       Impact factor: 5.191

4.  New mathematical modeling approach for predicting microbial inactivation by high hydrostatic pressure.

Authors:  Bernadette Klotz; D Leo Pyle; Bernard M Mackey
Journal:  Appl Environ Microbiol       Date:  2007-02-09       Impact factor: 4.792

5.  Degradation kinetics of anthocyanin and physicochemical changes in fermented turnip juice exposed to pulsed UV light.

Authors:  Hatice Aybuke Karaoglan; Nene Meltem Keklik; Nursel Develi Isıklı
Journal:  J Food Sci Technol       Date:  2018-11-26       Impact factor: 2.701

6.  Predicting the concentration of verotoxin-producing Escherichia coli bacteria during processing and storage of fermented raw-meat sausages.

Authors:  E J Quinto; P Arinder; L Axelsson; E Heir; A Holck; R Lindqvist; M Lindblad; P Andreou; H L Lauzon; V Þ Marteinsson; C Pin
Journal:  Appl Environ Microbiol       Date:  2014-02-21       Impact factor: 4.792

7.  Ingestion of Fecal Bacteria along Multiple Pathways by Young Children in Rural Bangladesh Participating in a Cluster-Randomized Trial of Water, Sanitation, and Hygiene Interventions (WASH Benefits).

Authors:  Laura H Kwong; Ayse Ercumen; Amy J Pickering; Joanne E Arsenault; Mahfuza Islam; Sarker M Parvez; Leanne Unicomb; Mahbubur Rahman; Jennifer Davis; Stephen P Luby
Journal:  Environ Sci Technol       Date:  2020-10-20       Impact factor: 9.028

8.  From Culture-Medium-Based Models to Applications to Food: Predicting the Growth of B. cereus in Reconstituted Infant Formulae.

Authors:  Nathália Buss da Silva; József Baranyi; Bruno A M Carciofi; Mariem Ellouze
Journal:  Front Microbiol       Date:  2017-09-21       Impact factor: 5.640

9.  Staphylococcus aureus 2064 growth as affected by temperature and reduced water activity.

Authors:  Alžbeta Medveďová; Adriana Havlíková; Veronika Lehotová; Ľubomír Valík
Journal:  Ital J Food Saf       Date:  2019-12-05

10.  Growth of Listeria monocytogenes in Partially Cooked Battered Chicken Nuggets as a Function of Storage Temperature.

Authors:  Alexandra Lianou; Ourania Raftopoulou; Evgenia Spyrelli; George-John E Nychas
Journal:  Foods       Date:  2021-03-04
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