Literature DB >> 10583676

Validating predictive models of food spoilage organisms.

C Pin1, J P Sutherland, J Baranyi.   

Abstract

The accuracy and bias of a predictive model for the maximum specific growth rate of Pseudomonas spp. were studied by means of percentage discrepancy and bias indicators. These were calculated for observations obtained both in laboratory media and in food. When independent pseudomonad data generated in broth were compared with model predictions, the error was smaller than in the case of food. The extent to which the food structure and composition of the microflora contribute to the overall error of the model was quantified.

Mesh：

Year:  1999        PMID： 10583676     DOI： 10.1046/j.1365-2672.1999.00838.x

Source DB:  PubMed          Journal:  J Appl Microbiol        ISSN： 1364-5072            Impact factor:   3.772


  8 in total

1.  Development of a microbial model for the combined effect of temperature and pH on spoilage of ground meat, and validation of the model under dynamic temperature conditions.

Authors:  K Koutsoumanis; A Stamatiou; P Skandamis; G-J E Nychas
Journal:  Appl Environ Microbiol       Date:  2006-01       Impact factor: 4.792

2.  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

3.  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

4.  Analysis and validation of a predictive model for growth and death of Aeromonas hydrophila under modified atmospheres at refrigeration temperatures.

Authors:  Carmen Pin; Raquel Velasco de Diego; Susan George; Gonzalo D García de Fernando; József Baranyi
Journal:  Appl Environ Microbiol       Date:  2004-07       Impact factor: 4.792

5.  Probabilistic modeling approach for evaluating the compliance of ready-to-eat foods with new European Union safety criteria for Listeria monocytogenes.

Authors:  Konstantinos Koutsoumanis; Apostolos S Angelidis
Journal:  Appl Environ Microbiol       Date:  2007-06-08       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.  Growth and inactivation of Salmonella enterica and Listeria monocytogenes in broth and validation in ground pork meat during simulated home storage abusive temperature and home pan-frying.

Authors:  Xiang Wang; Evy Lahou; Elien De Boeck; Frank Devlieghere; Annemie Geeraerd; Mieke Uyttendaele
Journal:  Front Microbiol       Date:  2015-10-27       Impact factor: 5.640

8.  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
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.