Predicting Pathogen Growth during Short-Term Temperature Abuse of Raw Sausage

Lag-phase duration (LPD) and growth rate (GR) values were calculated from experimental data obtained using a previously described protocol (S. C. Ingham, M. A. Fanslau, G. M. Burnham, B. H. Ingham, J. P. Norback, and D. W. Schaffner, J. Food Prot. 70:1445-1456, 2007). These values were used to devel...

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Veröffentlicht in:Journal of food protection 2009, Vol.72 (1), p.75-84
Hauptverfasser: Ingham, Steven C, Ingham, Barbara H, Borneman, Darand, Jaussaud, Emilie, Schoeller, Erica L, Hoftiezer, Nathan, Schwartzburg, Lauren, Burnham, Greg M, Norback, John P
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container_issue 1
container_start_page 75
container_title Journal of food protection
container_volume 72
creator Ingham, Steven C
Ingham, Barbara H
Borneman, Darand
Jaussaud, Emilie
Schoeller, Erica L
Hoftiezer, Nathan
Schwartzburg, Lauren
Burnham, Greg M
Norback, John P
description Lag-phase duration (LPD) and growth rate (GR) values were calculated from experimental data obtained using a previously described protocol (S. C. Ingham, M. A. Fanslau, G. M. Burnham, B. H. Ingham, J. P. Norback, and D. W. Schaffner, J. Food Prot. 70:1445-1456, 2007). These values were used to develop an interval accumulation-based tool designated THERM (temperature history evaluation for raw meats) for predicting growth or no growth of Salmonella serovars, Escherichia coli O157:H7, and Staphylococcus aureus in temperature-abused raw sausage. Data (time-temperature and pathogen log CFU per gram) were obtained from six inoculation experiments with Salmonella, E. coli O157:H7, and S. aureus in three raw pork sausage products stored under different temperature abuse conditions. The time-temperature history from each experiment was entered into THERM to predict pathogen growth. Predicted and experimental results were described as growth (>0.3 log increase in CFU) or no growth (
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C. Ingham, M. A. Fanslau, G. M. Burnham, B. H. Ingham, J. P. Norback, and D. W. Schaffner, J. Food Prot. 70:1445-1456, 2007). These values were used to develop an interval accumulation-based tool designated THERM (temperature history evaluation for raw meats) for predicting growth or no growth of Salmonella serovars, Escherichia coli O157:H7, and Staphylococcus aureus in temperature-abused raw sausage. Data (time-temperature and pathogen log CFU per gram) were obtained from six inoculation experiments with Salmonella, E. coli O157:H7, and S. aureus in three raw pork sausage products stored under different temperature abuse conditions. The time-temperature history from each experiment was entered into THERM to predict pathogen growth. Predicted and experimental results were described as growth (&gt;0.3 log increase in CFU) or no growth (&lt;=0.3 log increase in CFU) and compared. The THERM tool accurately predicted growth or no growth for all 18 pathogen-experiment combinations. When compared with the observed changes in log CFU values for the nine pathogen-experiment combinations in which pathogens grew, the predicted changes in log CFU values were within 0.3 log CFU for three combinations, exceeded observed values by 0.4 to 1.5 log CFU in four combinations, and were 1.2 to 1.4 log CFU lower in two combinations. The THERM tool approach appears to be useful for predicting pathogen growth versus no growth in raw sausage during temperature abuse, although further development and testing are warranted.</description><identifier>ISSN: 0362-028X</identifier><identifier>EISSN: 1944-9097</identifier><identifier>DOI: 10.4315/0362-028X-72.1.75</identifier><identifier>PMID: 19205467</identifier><identifier>CODEN: JFPRDR</identifier><language>eng</language><publisher>Des Moines, IA: International Association for Food Protection</publisher><subject>Animal sciences ; Animals ; Bacteria ; bacterial contamination ; Beef ; Biological and medical sciences ; Colony Count, Microbial ; Consumer Product Safety ; E coli ; Escherichia coli O157 - growth &amp; development ; Escherichia coli O157:H7 ; Experiments ; food contamination ; Food Handling - methods ; Food industries ; Food microbiology ; food pathogens ; Food processing industry ; Food safety ; Fundamental and applied biological sciences. Psychology ; Humans ; Kinetics ; Laboratories ; Mathematical functions ; Meat and meat product industries ; Meat industry ; Meat processing ; Meat Products - microbiology ; microbial growth ; Models, Biological ; Pathogens ; population growth ; pork ; Poultry ; prediction ; Predictive Value of Tests ; raw meat ; Salmonella ; Salmonella - growth &amp; development ; sausages ; simulation models ; Staphylococcus aureus ; Staphylococcus aureus - growth &amp; development ; storage temperature ; Swine ; Temperature ; temperature history evaluation for raw meats ; Time Factors</subject><ispartof>Journal of food protection, 2009, Vol.72 (1), p.75-84</ispartof><rights>2009 INIST-CNRS</rights><rights>Copyright International Association for Food Protection Jan 2009</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c423t-4084b2c82ac2a37a59d64aa1f7652d963794af2697715c868f8204ef99fcdec83</citedby><cites>FETCH-LOGICAL-c423t-4084b2c82ac2a37a59d64aa1f7652d963794af2697715c868f8204ef99fcdec83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,4010,27900,27901,27902</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=21079530$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19205467$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ingham, Steven C</creatorcontrib><creatorcontrib>Ingham, Barbara H</creatorcontrib><creatorcontrib>Borneman, Darand</creatorcontrib><creatorcontrib>Jaussaud, Emilie</creatorcontrib><creatorcontrib>Schoeller, Erica L</creatorcontrib><creatorcontrib>Hoftiezer, Nathan</creatorcontrib><creatorcontrib>Schwartzburg, Lauren</creatorcontrib><creatorcontrib>Burnham, Greg M</creatorcontrib><creatorcontrib>Norback, John P</creatorcontrib><title>Predicting Pathogen Growth during Short-Term Temperature Abuse of Raw Sausage</title><title>Journal of food protection</title><addtitle>J Food Prot</addtitle><description>Lag-phase duration (LPD) and growth rate (GR) values were calculated from experimental data obtained using a previously described protocol (S. C. Ingham, M. A. Fanslau, G. M. Burnham, B. H. Ingham, J. P. Norback, and D. W. Schaffner, J. Food Prot. 70:1445-1456, 2007). These values were used to develop an interval accumulation-based tool designated THERM (temperature history evaluation for raw meats) for predicting growth or no growth of Salmonella serovars, Escherichia coli O157:H7, and Staphylococcus aureus in temperature-abused raw sausage. Data (time-temperature and pathogen log CFU per gram) were obtained from six inoculation experiments with Salmonella, E. coli O157:H7, and S. aureus in three raw pork sausage products stored under different temperature abuse conditions. The time-temperature history from each experiment was entered into THERM to predict pathogen growth. Predicted and experimental results were described as growth (&gt;0.3 log increase in CFU) or no growth (&lt;=0.3 log increase in CFU) and compared. The THERM tool accurately predicted growth or no growth for all 18 pathogen-experiment combinations. When compared with the observed changes in log CFU values for the nine pathogen-experiment combinations in which pathogens grew, the predicted changes in log CFU values were within 0.3 log CFU for three combinations, exceeded observed values by 0.4 to 1.5 log CFU in four combinations, and were 1.2 to 1.4 log CFU lower in two combinations. The THERM tool approach appears to be useful for predicting pathogen growth versus no growth in raw sausage during temperature abuse, although further development and testing are warranted.</description><subject>Animal sciences</subject><subject>Animals</subject><subject>Bacteria</subject><subject>bacterial contamination</subject><subject>Beef</subject><subject>Biological and medical sciences</subject><subject>Colony Count, Microbial</subject><subject>Consumer Product Safety</subject><subject>E coli</subject><subject>Escherichia coli O157 - growth &amp; development</subject><subject>Escherichia coli O157:H7</subject><subject>Experiments</subject><subject>food contamination</subject><subject>Food Handling - methods</subject><subject>Food industries</subject><subject>Food microbiology</subject><subject>food pathogens</subject><subject>Food processing industry</subject><subject>Food safety</subject><subject>Fundamental and applied biological sciences. 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subjects Animal sciences
Animals
Bacteria
bacterial contamination
Beef
Biological and medical sciences
Colony Count, Microbial
Consumer Product Safety
E coli
Escherichia coli O157 - growth & development
Escherichia coli O157:H7
Experiments
food contamination
Food Handling - methods
Food industries
Food microbiology
food pathogens
Food processing industry
Food safety
Fundamental and applied biological sciences. Psychology
Humans
Kinetics
Laboratories
Mathematical functions
Meat and meat product industries
Meat industry
Meat processing
Meat Products - microbiology
microbial growth
Models, Biological
Pathogens
population growth
pork
Poultry
prediction
Predictive Value of Tests
raw meat
Salmonella
Salmonella - growth & development
sausages
simulation models
Staphylococcus aureus
Staphylococcus aureus - growth & development
storage temperature
Swine
Temperature
temperature history evaluation for raw meats
Time Factors
title Predicting Pathogen Growth during Short-Term Temperature Abuse of Raw Sausage
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