Literature DB >> 15128525

Evaluation of a Clostridium perfringens predictive model, developed under isothermal conditions in broth, to predict growth in ground beef during cooling.

Sarah Smith1, Donald W Schaffner.   

Abstract

Proper temperature control is essential in minimizing Clostridium perfringens germination, growth, and toxin production. The U.S. Department of Agriculture (USDA) Food Safety and Inspection Service (FSIS) offers two options for the cooling of meat products: follow a standard time-temperature schedule or validate that alternative cooling regimens result in no more than a 1-log(10) CFU/g increase of C. perfringens and no growth of Clostridium botulinum. A mathematical model developed by Juneja et al. (Food Microbiol. 16:335-349, 1999) may be helpful in determining if the C. perfringens performance standard has been achieved, but this model has not been extensively validated. The objective of this study was to validate the Juneja 1999 model in ground beef under a variety of changing temperature and temperature abuse situations. The Juneja 1999 model consistently underpredicted growth of C. perfringens during exponential cooling of ground beef. The model also underpredicted growth of C. perfringens in ground beef cooled at two different rates. The results presented here show generally good agreement with published data on the growth of C. perfringens in similar products. The model error may be due to faster-than-expected exponential growth rates in ground beef during cooling or an error in the mathematical formulation of the model.

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Year:  2004        PMID: 15128525      PMCID: PMC404405          DOI: 10.1128/AEM.70.5.2728-2733.2004

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  11 in total

1.  Predictions of growth for Listeria monocytogenes and Salmonella during fluctuating temperature.

Authors:  R Bovill; J Bew; N Cook; M D'Agostino; N Wilkinson; J Baranyi
Journal:  Int J Food Microbiol       Date:  2000-09-10       Impact factor: 5.277

2.  Modeling of bacterial growth with shifts in temperature.

Authors:  M H Zwietering; J C de Wit; H G Cuppers; K van 't Riet
Journal:  Appl Environ Microbiol       Date:  1994-01       Impact factor: 4.792

3.  Predicting growth of Brochothrix thermosphacta at changing temperature.

Authors:  J Baranyi; T P Robinson; A Kaloti; B M Mackey
Journal:  Int J Food Microbiol       Date:  1995-09       Impact factor: 5.277

Review 4.  A dynamic approach to predicting bacterial growth in food.

Authors:  J Baranyi; T A Roberts
Journal:  Int J Food Microbiol       Date:  1994-11       Impact factor: 5.277

5.  Determining the burden of human illness from food borne diseases. CDC's emerging infectious disease program Food Borne Diseases Active Surveillance Network (FoodNet).

Authors:  F J Angulo; A C Voetsch; D Vugia; J L Hadler; M Farley; C Hedberg; P Cieslak; D Morse; D Dwyer; D L Swerdlow
Journal:  Vet Clin North Am Food Anim Pract       Date:  1998-03       Impact factor: 3.357

6.  Bacillus megaterium spore germination is influenced by inoculum size.

Authors:  M L Caipo; S Duffy; L Zhao; D W Schaffner
Journal:  J Appl Microbiol       Date:  2002       Impact factor: 3.772

7.  Impact of cooking, cooling, and subsequent refrigeration on the growth or survival of Clostridium perfringens in cooked meat and poultry products.

Authors:  Robin M Kalinowski; R Bruce Tompkin; Peter W Bodnaruk; W Payton Pruett
Journal:  J Food Prot       Date:  2003-07       Impact factor: 2.077

8.  Incidence of Clostridium perfringens in commercially produced cured raw meat product mixtures and behavior in cooked products during chilling and refrigerated storage.

Authors:  Peter J Taormina; Gene W Bartholomew; Warren J Dorsa
Journal:  J Food Prot       Date:  2003-01       Impact factor: 2.077

9.  Growth of Clostridium perfringens in cooked chili during cooling.

Authors:  L C Blankenship; S E Craven; R G Leffler; C Custer
Journal:  Appl Environ Microbiol       Date:  1988-05       Impact factor: 4.792

10.  Effects of chilling rate on outgrowth of Clostridium perfringens spores in vacuum-packaged cooked beef and pork.

Authors:  Robert J Danler; Elizabeth A E Boyle; Curtis L Kastner; Harshavardhan Thippareddi; Daniel Y C Fung; Randall K Phebus
Journal:  J Food Prot       Date:  2003-03       Impact factor: 2.077

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  1 in total

1.  Phylogenetic and genomic analysis reveals high genomic openness and genetic diversity of Clostridium perfringens.

Authors:  Yuqing Feng; Xuezheng Fan; Liangquan Zhu; Xinyue Yang; Yan Liu; Shiguang Gao; Xiaolu Jin; Dan Liu; Jiabo Ding; Yuming Guo; Yongfei Hu
Journal:  Microb Genom       Date:  2020-10
  1 in total

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