Literature DB >> 9366606

Maximizing the usefulness of food microbiology research.

T A Roberts.   

Abstract

Funding for food microbiology research often follows disease outbreaks: botulism from vacuum-packed white-fish chubs, listeriosis from soft cheeses, or illness due to Salmonella Enteritidis or Escherichia coli. As a consequence of research, detection, identification, and subtyping methods improve, and more is learned about pathogenicity and virulence. Research also explores the organisms' capacity to multiply or survive in food and to be killed by established or novel processes. However, rarely is there a critical overview of progress or trustworthy statements of generally agreed-on facts. That information is not maintained in a form that can readily be used by regulatory departments and the food industry to ensure a safe food supply. A centralized system is urgently needed that is accessible electronically and carries information in a standardized format on the essential properties of the organisms, including pathogenicity, methods of detection, enumeration and identification, alternative prevention and control methods, and growth and survival characteristics.

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Year:  1997        PMID: 9366606      PMCID: PMC2640090          DOI: 10.3201/eid0304.970417

Source DB:  PubMed          Journal:  Emerg Infect Dis        ISSN: 1080-6040            Impact factor:   6.883


  5 in total

1.  Use of a computer data file for storage of heat resistance data on bacterial spores.

Authors:  K L Brown
Journal:  J Appl Bacteriol       Date:  1988-07

2.  Predictive model of the effect of temperature, pH and sodium chloride on growth from spores of non-proteolytic Clostridium botulinum.

Authors:  A F Graham; D R Mason; M W Peck
Journal:  Int J Food Microbiol       Date:  1996-08       Impact factor: 5.277

3.  Predictive modelling of growth of Escherichia coli O157:H7: the effects of temperature, pH and sodium chloride.

Authors:  J P Sutherland; A J Bayliss; D S Braxton
Journal:  Int J Food Microbiol       Date:  1995-03       Impact factor: 5.277

4.  Predictive modelling of growth of Yersinia enterocolitica: the effects of temperature, pH and sodium chloride.

Authors:  J P Sutherland; A J Bayliss
Journal:  Int J Food Microbiol       Date:  1994-02       Impact factor: 5.277

5.  Predictive modelling of growth of Staphylococcus aureus: the effects of temperature, pH and sodium chloride.

Authors:  J P Sutherland; A J Bayliss; T A Roberts
Journal:  Int J Food Microbiol       Date:  1994-02       Impact factor: 5.277

  5 in total

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