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Predictive thermal inactivation model for Listeria monocytogenes with temperature, pH, NaCl, and sodium pyrophosphate as controlling factors
The effects and interactions of heating temperature (55 to 65 degrees C), pH (4 to 8), salt (NaCl; 0 to 6%, wt/vol), and sodium pyrophosphate (SPP; 0 to 0.3%, wt/vol) on the heat inactivation of a four-strain mixture of Listeria monocytogenes in beef gravy were examined. A factorial experimental des...
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Published in: | Journal of food protection 1999-09, Vol.62 (9), p.986-993 |
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description | The effects and interactions of heating temperature (55 to 65 degrees C), pH (4 to 8), salt (NaCl; 0 to 6%, wt/vol), and sodium pyrophosphate (SPP; 0 to 0.3%, wt/vol) on the heat inactivation of a four-strain mixture of Listeria monocytogenes in beef gravy were examined. A factorial experimental design comparing 48 combinations of heating temperature, salt concentration, pH value, and SPP content was used. Heating was carried out using a submerged-coil heating apparatus. The recovery medium was plate count agar supplemented with 0.6% yeast extract and 1% sodium pyruvate. Decimal reduction times (D-values) were calculated by fitting a survival model to the data with a curve-fitting program. The D-values were analyzed by second-order response surface regression for temperature, pH, NaCl, and SPP levels. Whereas increasing the NaCl concentration protected L. monocytogenes against the lethal effect of heat, high SPP concentrations increased heat sensitivity. Also, low pH values increased heat sensitivity of L. monocytogenes. The four variables interacted to affect the inactivation of the pathogen. Thermal resistance of L. monocytogenes can be lowered by combining these intrinsic factors. A predictive model that described the combined effect of temperature, pH, NaCl, and SPP levels on thermal resistance of L. monocytogenes was developed. The model can predict D-values for any combination of temperature, pH, NaCl, and SPP that are within the range of those tested. Using this predictive model, food processors should be able to design adequate thermal regimes to eliminate L. monocytogenes in thermally processed foods. |
doi_str_mv | 10.4315/0362-028X-62.9.986 |
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A factorial experimental design comparing 48 combinations of heating temperature, salt concentration, pH value, and SPP content was used. Heating was carried out using a submerged-coil heating apparatus. The recovery medium was plate count agar supplemented with 0.6% yeast extract and 1% sodium pyruvate. Decimal reduction times (D-values) were calculated by fitting a survival model to the data with a curve-fitting program. The D-values were analyzed by second-order response surface regression for temperature, pH, NaCl, and SPP levels. Whereas increasing the NaCl concentration protected L. monocytogenes against the lethal effect of heat, high SPP concentrations increased heat sensitivity. Also, low pH values increased heat sensitivity of L. monocytogenes. The four variables interacted to affect the inactivation of the pathogen. Thermal resistance of L. monocytogenes can be lowered by combining these intrinsic factors. A predictive model that described the combined effect of temperature, pH, NaCl, and SPP levels on thermal resistance of L. monocytogenes was developed. The model can predict D-values for any combination of temperature, pH, NaCl, and SPP that are within the range of those tested. Using this predictive model, food processors should be able to design adequate thermal regimes to eliminate L. monocytogenes in thermally processed foods.</description><identifier>ISSN: 0362-028X</identifier><identifier>EISSN: 1944-9097</identifier><identifier>DOI: 10.4315/0362-028X-62.9.986</identifier><identifier>PMID: 10492471</identifier><identifier>CODEN: JFPRDR</identifier><language>eng</language><publisher>Des Moines, IA: International Association of Milk, Food and Environmental Sanitarians</publisher><subject>Animals ; application rate ; beef ; Biological and medical sciences ; Cell Survival ; Diphosphates - pharmacology ; experimental design ; Food industries ; Food Microbiology ; food processing ; Fundamental and applied biological sciences. Psychology ; heat resistance ; heat treatment ; Hot Temperature ; Hydrogen-Ion Concentration ; inactivation ; interactions ; Listeria monocytogenes ; Listeria monocytogenes - pathogenicity ; mathematical models ; Meat and meat product industries ; meat products ; Meat Products - microbiology ; Models, Biological ; prediction ; salinity ; sodium chloride ; Sodium Chloride - pharmacology ; sodium pyrophosphate ; temperature ; tetrasodium pyrophosphate</subject><ispartof>Journal of food protection, 1999-09, Vol.62 (9), p.986-993</ispartof><rights>2000 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c427t-3240b6b51d3170b5f1b7be5bf82a36bf37fdab8d67ace751ca6b672d06825f1e3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=1196518$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/10492471$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Juneja, V.K</creatorcontrib><creatorcontrib>Eblen, B.S</creatorcontrib><title>Predictive thermal inactivation model for Listeria monocytogenes with temperature, pH, NaCl, and sodium pyrophosphate as controlling factors</title><title>Journal of food protection</title><addtitle>J Food Prot</addtitle><description>The effects and interactions of heating temperature (55 to 65 degrees C), pH (4 to 8), salt (NaCl; 0 to 6%, wt/vol), and sodium pyrophosphate (SPP; 0 to 0.3%, wt/vol) on the heat inactivation of a four-strain mixture of Listeria monocytogenes in beef gravy were examined. A factorial experimental design comparing 48 combinations of heating temperature, salt concentration, pH value, and SPP content was used. Heating was carried out using a submerged-coil heating apparatus. The recovery medium was plate count agar supplemented with 0.6% yeast extract and 1% sodium pyruvate. Decimal reduction times (D-values) were calculated by fitting a survival model to the data with a curve-fitting program. The D-values were analyzed by second-order response surface regression for temperature, pH, NaCl, and SPP levels. Whereas increasing the NaCl concentration protected L. monocytogenes against the lethal effect of heat, high SPP concentrations increased heat sensitivity. Also, low pH values increased heat sensitivity of L. monocytogenes. The four variables interacted to affect the inactivation of the pathogen. Thermal resistance of L. monocytogenes can be lowered by combining these intrinsic factors. A predictive model that described the combined effect of temperature, pH, NaCl, and SPP levels on thermal resistance of L. monocytogenes was developed. The model can predict D-values for any combination of temperature, pH, NaCl, and SPP that are within the range of those tested. Using this predictive model, food processors should be able to design adequate thermal regimes to eliminate L. monocytogenes in thermally processed foods.</description><subject>Animals</subject><subject>application rate</subject><subject>beef</subject><subject>Biological and medical sciences</subject><subject>Cell Survival</subject><subject>Diphosphates - pharmacology</subject><subject>experimental design</subject><subject>Food industries</subject><subject>Food Microbiology</subject><subject>food processing</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>heat resistance</subject><subject>heat treatment</subject><subject>Hot Temperature</subject><subject>Hydrogen-Ion Concentration</subject><subject>inactivation</subject><subject>interactions</subject><subject>Listeria monocytogenes</subject><subject>Listeria monocytogenes - pathogenicity</subject><subject>mathematical models</subject><subject>Meat and meat product industries</subject><subject>meat products</subject><subject>Meat Products - microbiology</subject><subject>Models, Biological</subject><subject>prediction</subject><subject>salinity</subject><subject>sodium chloride</subject><subject>Sodium Chloride - pharmacology</subject><subject>sodium pyrophosphate</subject><subject>temperature</subject><subject>tetrasodium pyrophosphate</subject><issn>0362-028X</issn><issn>1944-9097</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1999</creationdate><recordtype>article</recordtype><recordid>eNpN0c2KFDEQB_Agiju7-gIeNAfxND3mozvpPi6DusKggi54C5V0MhPp7rRJWpl38KE3wwzqqaD4VRX8C6EXlGxqTpu3hAtWEdZ-rwTbdJuuFY_QinZ1XXWkk4_R6i-4Qtcp_SCEsI6Jp-iKkrpjtaQr9OdLtL032f-yOB9sHGHAfoJTA7IPEx5DbwfsQsQ7n7KNHkprCuaYw95ONuHfPh9wtuNsI-Ql2jWe79b4E2yHNYapxyn0fhnxfIxhPoQ0HyBbDAmbMOUYhsFPe-zKwRDTM_TEwZDs80u9Qffv333b3lW7zx8-bm93lamZzBVnNdFCN7TnVBLdOKqlto12LQMutOPS9aDbXkgwVjbUgNBCsp6IlhVs-Q16c947x_BzsSmr0SdjhwEmG5akqGxa1gpeIDtDE0NK0To1Rz9CPCpK1OkH6hSxOkWsSu1U-UEZennZvujR9v-NnEMv4PUFQDIwuAiT8emfo51oaFvYqzNzEBTsYyH3XxmhvHyxJh0j_AFQbpux</recordid><startdate>19990901</startdate><enddate>19990901</enddate><creator>Juneja, V.K</creator><creator>Eblen, B.S</creator><general>International Association of Milk, Food and Environmental Sanitarians</general><scope>FBQ</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T2</scope><scope>7T7</scope><scope>7U2</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope></search><sort><creationdate>19990901</creationdate><title>Predictive thermal inactivation model for Listeria monocytogenes with temperature, pH, NaCl, and sodium pyrophosphate as controlling factors</title><author>Juneja, V.K ; Eblen, B.S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c427t-3240b6b51d3170b5f1b7be5bf82a36bf37fdab8d67ace751ca6b672d06825f1e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Animals</topic><topic>application rate</topic><topic>beef</topic><topic>Biological and medical sciences</topic><topic>Cell Survival</topic><topic>Diphosphates - pharmacology</topic><topic>experimental design</topic><topic>Food industries</topic><topic>Food Microbiology</topic><topic>food processing</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>heat resistance</topic><topic>heat treatment</topic><topic>Hot Temperature</topic><topic>Hydrogen-Ion Concentration</topic><topic>inactivation</topic><topic>interactions</topic><topic>Listeria monocytogenes</topic><topic>Listeria monocytogenes - pathogenicity</topic><topic>mathematical models</topic><topic>Meat and meat product industries</topic><topic>meat products</topic><topic>Meat Products - microbiology</topic><topic>Models, Biological</topic><topic>prediction</topic><topic>salinity</topic><topic>sodium chloride</topic><topic>Sodium Chloride - pharmacology</topic><topic>sodium pyrophosphate</topic><topic>temperature</topic><topic>tetrasodium pyrophosphate</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Juneja, V.K</creatorcontrib><creatorcontrib>Eblen, B.S</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Safety Science and Risk</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Journal of food protection</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Juneja, V.K</au><au>Eblen, B.S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictive thermal inactivation model for Listeria monocytogenes with temperature, pH, NaCl, and sodium pyrophosphate as controlling factors</atitle><jtitle>Journal of food protection</jtitle><addtitle>J Food Prot</addtitle><date>1999-09-01</date><risdate>1999</risdate><volume>62</volume><issue>9</issue><spage>986</spage><epage>993</epage><pages>986-993</pages><issn>0362-028X</issn><eissn>1944-9097</eissn><coden>JFPRDR</coden><abstract>The effects and interactions of heating temperature (55 to 65 degrees C), pH (4 to 8), salt (NaCl; 0 to 6%, wt/vol), and sodium pyrophosphate (SPP; 0 to 0.3%, wt/vol) on the heat inactivation of a four-strain mixture of Listeria monocytogenes in beef gravy were examined. A factorial experimental design comparing 48 combinations of heating temperature, salt concentration, pH value, and SPP content was used. Heating was carried out using a submerged-coil heating apparatus. The recovery medium was plate count agar supplemented with 0.6% yeast extract and 1% sodium pyruvate. Decimal reduction times (D-values) were calculated by fitting a survival model to the data with a curve-fitting program. The D-values were analyzed by second-order response surface regression for temperature, pH, NaCl, and SPP levels. Whereas increasing the NaCl concentration protected L. monocytogenes against the lethal effect of heat, high SPP concentrations increased heat sensitivity. Also, low pH values increased heat sensitivity of L. monocytogenes. The four variables interacted to affect the inactivation of the pathogen. Thermal resistance of L. monocytogenes can be lowered by combining these intrinsic factors. A predictive model that described the combined effect of temperature, pH, NaCl, and SPP levels on thermal resistance of L. monocytogenes was developed. The model can predict D-values for any combination of temperature, pH, NaCl, and SPP that are within the range of those tested. Using this predictive model, food processors should be able to design adequate thermal regimes to eliminate L. monocytogenes in thermally processed foods.</abstract><cop>Des Moines, IA</cop><pub>International Association of Milk, Food and Environmental Sanitarians</pub><pmid>10492471</pmid><doi>10.4315/0362-028X-62.9.986</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Animals application rate beef Biological and medical sciences Cell Survival Diphosphates - pharmacology experimental design Food industries Food Microbiology food processing Fundamental and applied biological sciences. Psychology heat resistance heat treatment Hot Temperature Hydrogen-Ion Concentration inactivation interactions Listeria monocytogenes Listeria monocytogenes - pathogenicity mathematical models Meat and meat product industries meat products Meat Products - microbiology Models, Biological prediction salinity sodium chloride Sodium Chloride - pharmacology sodium pyrophosphate temperature tetrasodium pyrophosphate |
title | Predictive thermal inactivation model for Listeria monocytogenes with temperature, pH, NaCl, and sodium pyrophosphate as controlling factors |
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