Literature DB >> 15453591

ComBase: a common database on microbial responses to food environments.

József Baranyi1, Mark L Tamplin.   

Abstract

The advancement of predictive microbiology relies on available data that describe the behavior of microorganisms in different environmental matrices. For such information to be useful to the predictive microbiology research community, data must be organized in a manner that permits efficient access and data retrieval. Here, we describe a database protocol that encompasses observations of bacterial responses to food environments, resulting in a database (ComBase) for predictive microbiology purposes. The data included in ComBase were obtained from cooperating research institutes and from the literature and are publicly available via the Internet.

Mesh:

Year:  2004        PMID: 15453591     DOI: 10.4315/0362-028x-67.9.1967

Source DB:  PubMed          Journal:  J Food Prot        ISSN: 0362-028X            Impact factor:   2.077


  20 in total

1.  Lag phase of Salmonella enterica under osmotic stress conditions.

Authors:  K Zhou; S M George; A Métris; P L Li; J Baranyi
Journal:  Appl Environ Microbiol       Date:  2010-12-30       Impact factor: 4.792

2.  The Establishment and Utility of a Free Online Database of Primary Bone Tumors.

Authors:  Hairong Xu; Robert P Seifert; Xiaohui Niu; Yuan Li; Marilyn M Bui
Journal:  Pathol Oncol Res       Date:  2015-09-16       Impact factor: 3.201

3.  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

4.  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

5.  Storage quality of fresh-cut apples treated with yerba mate (Ilex paraguariensis).

Authors:  Mariana Rodríguez-Arzuaga; María S Salsi; Andrea M Piagentini
Journal:  J Food Sci Technol       Date:  2020-05-23       Impact factor: 2.701

6.  The transcriptional heat shock response of Salmonella typhimurium shows hysteresis and heated cells show increased resistance to heat and acid stress.

Authors:  Carmen Pin; Trine Hansen; Marina Muñoz-Cuevas; Rob de Jonge; Jesper T Rosenkrantz; Charlotta Löfström; Henk Aarts; John E Olsen
Journal:  PLoS One       Date:  2012-12-07       Impact factor: 3.240

7.  Integrated kinetic and probabilistic modeling of the growth potential of bacterial populations.

Authors:  S M George; A Métris; J Baranyi
Journal:  Appl Environ Microbiol       Date:  2015-03-06       Impact factor: 4.792

8.  Incorporating prior knowledge improves detection of differences in bacterial growth rate.

Authors:  Lydia M Rickett; Nick Pullen; Matthew Hartley; Cyril Zipfel; Sophien Kamoun; József Baranyi; Richard J Morris
Journal:  BMC Syst Biol       Date:  2015-09-21

9.  BGFit: management and automated fitting of biological growth curves.

Authors:  André Veríssimo; Laura Paixão; Ana Rute Neves; Susana Vinga
Journal:  BMC Bioinformatics       Date:  2013-09-25       Impact factor: 3.169

Review 10.  Challenges in microbial ecology: building predictive understanding of community function and dynamics.

Authors:  Stefanie Widder; Rosalind J Allen; Thomas Pfeiffer; Thomas P Curtis; Carsten Wiuf; William T Sloan; Otto X Cordero; Sam P Brown; Babak Momeni; Wenying Shou; Helen Kettle; Harry J Flint; Andreas F Haas; Béatrice Laroche; Jan-Ulrich Kreft; Paul B Rainey; Shiri Freilich; Stefan Schuster; Kim Milferstedt; Jan R van der Meer; Tobias Groβkopf; Jef Huisman; Andrew Free; Cristian Picioreanu; Christopher Quince; Isaac Klapper; Simon Labarthe; Barth F Smets; Harris Wang; Orkun S Soyer
Journal:  ISME J       Date:  2016-03-29       Impact factor: 10.302

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