Literature DB >> 25836405

Quantitative data analysis to determine best food cooling practices in U.S. restaurants.

Donald W Schaffner1, Laura Green Brown2, Danny Ripley3, Dave Reimann4, Nicole Koktavy5, Henry Blade6, David Nicholas7.   

Abstract

Data collected by the Centers for Disease Control and Prevention (CDC) show that improper cooling practices contributed to more than 500 foodborne illness outbreaks associated with restaurants or delis in the United States between 1998 and 2008. CDC's Environmental Health Specialists Network (EHS-Net) personnel collected data in approximately 50 randomly selected restaurants in nine EHS-Net sites in 2009 to 2010 and measured the temperatures of cooling food at the beginning and the end of the observation period. Those beginning and ending points were used to estimate cooling rates. The most common cooling method was refrigeration, used in 48% of cooling steps. Other cooling methods included ice baths (19%), room-temperature cooling (17%), ice-wand cooling (7%), and adding ice or frozen food to the cooling food as an ingredient (2%). Sixty-five percent of cooling observations had an estimated cooling rate that was compliant with the 2009 Food and Drug Administration Food Code guideline (cooling to 41 °F [5 °C] in 6 h). Large cuts of meat and stews had the slowest overall estimated cooling rate, approximately equal to that specified in the Food Code guideline. Pasta and noodles were the fastest cooling foods, with a cooling time of just over 2 h. Foods not being actively monitored by food workers were more than twice as likely to cool more slowly than recommended in the Food Code guideline. Food stored at a depth greater than 7.6 cm (3 in.) was twice as likely to cool more slowly than specified in the Food Code guideline. Unventilated cooling foods were almost twice as likely to cool more slowly than specified in the Food Code guideline. Our data suggest that several best cooling practices can contribute to a proper cooling process. Inspectors unable to assess the full cooling process should consider assessing specific cooling practices as an alternative. Future research could validate our estimation method and study the effect of specific practices on the full cooling process.

Entities:  

Mesh:

Year:  2015        PMID: 25836405      PMCID: PMC5578442          DOI: 10.4315/0362-028X.JFP-14-252

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


  8 in total

1.  Restaurant food cooling practices.

Authors:  Laura Green Brown; Danny Ripley; Henry Blade; Dave Reimann; Karen Everstine; Dave Nicholas; Jessica Egan; Nicole Koktavy; Daniela N Quilliam
Journal:  J Food Prot       Date:  2012-12       Impact factor: 2.077

2.  Development of a model to predict growth of Clostridium perfringens in cooked beef during cooling.

Authors:  Sarah Smith-Simpson; Donald W Schaffner
Journal:  J Food Prot       Date:  2005-02       Impact factor: 2.077

3.  Modeling growth of Clostridium perfringens in pea soup during cooling.

Authors:  Aarieke E I de Jong; Rijkel R Beumer; Marcel H Zwietering
Journal:  Risk Anal       Date:  2005-02       Impact factor: 4.000

Review 4.  Contributing factors in restaurant-associated foodborne disease outbreaks, FoodNet sites, 2006 and 2007.

Authors:  L Hannah Gould; Ida Rosenblum; David Nicholas; Quyen Phan; Timothy F Jones
Journal:  J Food Prot       Date:  2013-11       Impact factor: 2.077

Review 5.  Growth potential of Clostridium perfringens during cooling of cooked meats.

Authors:  Peter J Taormina; Warren J Dorsa
Journal:  J Food Prot       Date:  2004-07       Impact factor: 2.077

6.  Modelling the growth of Clostridium perfringens during the cooling of bulk meat.

Authors:  Y Le Marc; J Plowman; C F Aldus; M Munoz-Cuevas; J Baranyi; M W Peck
Journal:  Int J Food Microbiol       Date:  2008-07-19       Impact factor: 5.277

7.  Growth of Clostridium perfringens during cooling of refried beans.

Authors:  Juan M Cevallos-Cevallos; E Deann Akins; Loretta M Friedrich; Michelle D Danyluk; Amarat H Simonne
Journal:  J Food Prot       Date:  2012-10       Impact factor: 2.077

8.  Effect of cooling on Clostridium perfringens in pea soup.

Authors:  A E I de Jong; F M Rombouts; R R Beumer
Journal:  J Food Prot       Date:  2004-02       Impact factor: 2.077

  8 in total
  2 in total

1.  Tools and Techniques to Promote Proper Food Cooling in Restaurants.

Authors:  Nicole D Hedeen; Donald Schaffner; Laura Green Brown
Journal:  J Environ Health       Date:  2022-03       Impact factor: 0.855

2.  Restaurant Characteristics Associated With the Use of Specific Food-Cooling Methods.

Authors:  Kirsten Reed; Laura Brown; Danny Ripley; Nicole Hedeen; David Nicholas; Brenda Faw; Lisa Bushnell; Priya Nair; Timothy Wickam
Journal:  J Environ Health       Date:  2020-06       Impact factor: 0.855

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.