Prediction of pathogen growth on iceberg lettuce under real temperature history during distribution from farm to table
The growth of pathogenic bacteria Escherichia coli O157:H7, Salmonella spp., and Listeria monocytogenes on iceberg lettuce under constant and fluctuating temperatures was modelled in order to estimate the microbial safety of this vegetable during distribution from the farm to the table. Firstly, we...
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| Veröffentlicht in: | International journal of food microbiology 2005-10, Vol.104 (3), p.239-248 |
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| creator | Koseki, Shigenobu Isobe, Seiichiro |
| description | The growth of pathogenic bacteria
Escherichia coli O157:H7,
Salmonella spp., and
Listeria monocytogenes on iceberg lettuce under constant and fluctuating temperatures was modelled in order to estimate the microbial safety of this vegetable during distribution from the farm to the table. Firstly, we examined pathogen growth on lettuce at constant temperatures, ranging from 5 to 25 °C, and then we obtained the growth kinetic parameters (lag time, maximum growth rate (
μ
max), and maximum population density (MPD)) using the Baranyi primary growth model. The parameters were similar to those predicted by the pathogen modelling program (PMP), with the exception of MPD. The MPD of each pathogen on lettuce was 2–4 log
10 CFU/g lower than that predicted by PMP. Furthermore, the MPD of pathogens decreased with decreasing temperature. The relationship between
μ
max
and temperature was linear in accordance with Ratkowsky secondary model as was the relationship between the MPD and temperature. Predictions of pathogen growth under fluctuating temperature used the Baranyi primary microbial growth model along with the Ratkowsky secondary model and MPD equation. The fluctuating temperature profile used in this study was the real temperature history measured during distribution from the field at harvesting to the retail store. Overall predictions for each pathogen agreed well with observed viable counts in most cases. The bias and root mean square error (RMSE) of the prediction were small. The prediction in which
μ
max was based on PMP showed a trend of overestimation relative to prediction based on lettuce. However, the prediction concerning
E. coli O157:H7 and
Salmonella spp. on lettuce greatly overestimated growth in the case of a temperature history starting relatively high, such as 25 °C for 5 h. In contrast, the overall prediction of
L. monocytogenes under the same circumstances agreed with the observed data. |
| doi_str_mv | 10.1016/j.ijfoodmicro.2005.02.012 |
| format | Article |
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Escherichia coli O157:H7,
Salmonella spp., and
Listeria monocytogenes on iceberg lettuce under constant and fluctuating temperatures was modelled in order to estimate the microbial safety of this vegetable during distribution from the farm to the table. Firstly, we examined pathogen growth on lettuce at constant temperatures, ranging from 5 to 25 °C, and then we obtained the growth kinetic parameters (lag time, maximum growth rate (
μ
max), and maximum population density (MPD)) using the Baranyi primary growth model. The parameters were similar to those predicted by the pathogen modelling program (PMP), with the exception of MPD. The MPD of each pathogen on lettuce was 2–4 log
10 CFU/g lower than that predicted by PMP. Furthermore, the MPD of pathogens decreased with decreasing temperature. The relationship between
μ
max
and temperature was linear in accordance with Ratkowsky secondary model as was the relationship between the MPD and temperature. Predictions of pathogen growth under fluctuating temperature used the Baranyi primary microbial growth model along with the Ratkowsky secondary model and MPD equation. The fluctuating temperature profile used in this study was the real temperature history measured during distribution from the field at harvesting to the retail store. Overall predictions for each pathogen agreed well with observed viable counts in most cases. The bias and root mean square error (RMSE) of the prediction were small. The prediction in which
μ
max was based on PMP showed a trend of overestimation relative to prediction based on lettuce. However, the prediction concerning
E. coli O157:H7 and
Salmonella spp. on lettuce greatly overestimated growth in the case of a temperature history starting relatively high, such as 25 °C for 5 h. In contrast, the overall prediction of
L. monocytogenes under the same circumstances agreed with the observed data.</description><identifier>ISSN: 0168-1605</identifier><identifier>EISSN: 1879-3460</identifier><identifier>DOI: 10.1016/j.ijfoodmicro.2005.02.012</identifier><identifier>PMID: 15979180</identifier><identifier>CODEN: IJFMDD</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>bacterial contamination ; Biological and medical sciences ; Colony Count, Microbial ; Escherichia coli ; Escherichia coli O157 - growth & development ; Fluctuating temperature ; food contamination ; Food Handling - methods ; Food industries ; Food Microbiology ; food pathogens ; Fruit and vegetable industries ; Fundamental and applied biological sciences. Psychology ; head lettuce ; Hygiene ; Kinetics ; Lactuca - microbiology ; Lactuca sativa var. capitata ; Lettuce ; Listeria monocytogenes ; Listeria monocytogenes - growth & development ; microbial growth ; Models, Biological ; Pathogen growth ; Predictive microbiology ; Predictive Value of Tests ; Real temperature history ; Salmonella ; Salmonella - growth & development ; storage temperature ; Temperature</subject><ispartof>International journal of food microbiology, 2005-10, Vol.104 (3), p.239-248</ispartof><rights>2005 Elsevier B.V.</rights><rights>2005 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c526t-63482bd8d6578331c84ba42c2e954b52a58cce7f9a3200d11d15525644bb88063</citedby><cites>FETCH-LOGICAL-c526t-63482bd8d6578331c84ba42c2e954b52a58cce7f9a3200d11d15525644bb88063</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ijfoodmicro.2005.02.012$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,45974</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=17213844$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15979180$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Koseki, Shigenobu</creatorcontrib><creatorcontrib>Isobe, Seiichiro</creatorcontrib><title>Prediction of pathogen growth on iceberg lettuce under real temperature history during distribution from farm to table</title><title>International journal of food microbiology</title><addtitle>Int J Food Microbiol</addtitle><description>The growth of pathogenic bacteria
Escherichia coli O157:H7,
Salmonella spp., and
Listeria monocytogenes on iceberg lettuce under constant and fluctuating temperatures was modelled in order to estimate the microbial safety of this vegetable during distribution from the farm to the table. Firstly, we examined pathogen growth on lettuce at constant temperatures, ranging from 5 to 25 °C, and then we obtained the growth kinetic parameters (lag time, maximum growth rate (
μ
max), and maximum population density (MPD)) using the Baranyi primary growth model. The parameters were similar to those predicted by the pathogen modelling program (PMP), with the exception of MPD. The MPD of each pathogen on lettuce was 2–4 log
10 CFU/g lower than that predicted by PMP. Furthermore, the MPD of pathogens decreased with decreasing temperature. The relationship between
μ
max
and temperature was linear in accordance with Ratkowsky secondary model as was the relationship between the MPD and temperature. Predictions of pathogen growth under fluctuating temperature used the Baranyi primary microbial growth model along with the Ratkowsky secondary model and MPD equation. The fluctuating temperature profile used in this study was the real temperature history measured during distribution from the field at harvesting to the retail store. Overall predictions for each pathogen agreed well with observed viable counts in most cases. The bias and root mean square error (RMSE) of the prediction were small. The prediction in which
μ
max was based on PMP showed a trend of overestimation relative to prediction based on lettuce. However, the prediction concerning
E. coli O157:H7 and
Salmonella spp. on lettuce greatly overestimated growth in the case of a temperature history starting relatively high, such as 25 °C for 5 h. In contrast, the overall prediction of
L. monocytogenes under the same circumstances agreed with the observed data.</description><subject>bacterial contamination</subject><subject>Biological and medical sciences</subject><subject>Colony Count, Microbial</subject><subject>Escherichia coli</subject><subject>Escherichia coli O157 - growth & development</subject><subject>Fluctuating temperature</subject><subject>food contamination</subject><subject>Food Handling - methods</subject><subject>Food industries</subject><subject>Food Microbiology</subject><subject>food pathogens</subject><subject>Fruit and vegetable industries</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>head lettuce</subject><subject>Hygiene</subject><subject>Kinetics</subject><subject>Lactuca - microbiology</subject><subject>Lactuca sativa var. capitata</subject><subject>Lettuce</subject><subject>Listeria monocytogenes</subject><subject>Listeria monocytogenes - growth & development</subject><subject>microbial growth</subject><subject>Models, Biological</subject><subject>Pathogen growth</subject><subject>Predictive microbiology</subject><subject>Predictive Value of Tests</subject><subject>Real temperature history</subject><subject>Salmonella</subject><subject>Salmonella - growth & development</subject><subject>storage temperature</subject><subject>Temperature</subject><issn>0168-1605</issn><issn>1879-3460</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkU1v1DAQhi0EotvCXwBzoLcNtmMnzhGt-JIqgQQ9W449yXqVxMvYKeq_x-2uVI6crLGemXn1DCHvOKs4482HQxUOQ4x-Dg5jJRhTFRMV4-IZ2XDddttaNuw52RRWb3nD1AW5TOnACljX7CW54KprO67Zhtz9QPDB5RAXGgd6tHkfR1joiPFP3tPyGxz0gCOdIOfVAV0XD0gR7EQzzEdAm1cEug8pR7ynfsWwjNSXEkO_Pg4eMM50sDjTHGm2_QSvyIvBTglen98rcvv506_d1-3N9y_fdh9vtk6JJm-bWmrRe-0b1eq65k7L3krhBHRK9kpYpZ2DduhsXSx4zj1XSqhGyr7XmjX1Fbk-zT1i_L1CymYOycE02QXimgzv2lZqxgvYncBiNCWEwRwxzBbvDWfmQbo5mH-kmwfphglTpJfeN-claz-Df-o8Wy7A-zNgk7PTgHZxIT1xreC1lrJwb0_cYKOxIxbm9qco6RhnkrePMXcnAoq0uwBokguwuHJDBJeNj-E_Av8Fy92w3Q</recordid><startdate>20051025</startdate><enddate>20051025</enddate><creator>Koseki, Shigenobu</creator><creator>Isobe, Seiichiro</creator><general>Elsevier B.V</general><general>Elsevier</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>7QL</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>20051025</creationdate><title>Prediction of pathogen growth on iceberg lettuce under real temperature history during distribution from farm to table</title><author>Koseki, Shigenobu ; Isobe, Seiichiro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c526t-63482bd8d6578331c84ba42c2e954b52a58cce7f9a3200d11d15525644bb88063</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>bacterial contamination</topic><topic>Biological and medical sciences</topic><topic>Colony Count, Microbial</topic><topic>Escherichia coli</topic><topic>Escherichia coli O157 - growth & development</topic><topic>Fluctuating temperature</topic><topic>food contamination</topic><topic>Food Handling - methods</topic><topic>Food industries</topic><topic>Food Microbiology</topic><topic>food pathogens</topic><topic>Fruit and vegetable industries</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>head lettuce</topic><topic>Hygiene</topic><topic>Kinetics</topic><topic>Lactuca - microbiology</topic><topic>Lactuca sativa var. capitata</topic><topic>Lettuce</topic><topic>Listeria monocytogenes</topic><topic>Listeria monocytogenes - growth & development</topic><topic>microbial growth</topic><topic>Models, Biological</topic><topic>Pathogen growth</topic><topic>Predictive microbiology</topic><topic>Predictive Value of Tests</topic><topic>Real temperature history</topic><topic>Salmonella</topic><topic>Salmonella - growth & development</topic><topic>storage temperature</topic><topic>Temperature</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Koseki, Shigenobu</creatorcontrib><creatorcontrib>Isobe, Seiichiro</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>Bacteriology Abstracts (Microbiology B)</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>International journal of food microbiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Koseki, Shigenobu</au><au>Isobe, Seiichiro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction of pathogen growth on iceberg lettuce under real temperature history during distribution from farm to table</atitle><jtitle>International journal of food microbiology</jtitle><addtitle>Int J Food Microbiol</addtitle><date>2005-10-25</date><risdate>2005</risdate><volume>104</volume><issue>3</issue><spage>239</spage><epage>248</epage><pages>239-248</pages><issn>0168-1605</issn><eissn>1879-3460</eissn><coden>IJFMDD</coden><abstract>The growth of pathogenic bacteria
Escherichia coli O157:H7,
Salmonella spp., and
Listeria monocytogenes on iceberg lettuce under constant and fluctuating temperatures was modelled in order to estimate the microbial safety of this vegetable during distribution from the farm to the table. Firstly, we examined pathogen growth on lettuce at constant temperatures, ranging from 5 to 25 °C, and then we obtained the growth kinetic parameters (lag time, maximum growth rate (
μ
max), and maximum population density (MPD)) using the Baranyi primary growth model. The parameters were similar to those predicted by the pathogen modelling program (PMP), with the exception of MPD. The MPD of each pathogen on lettuce was 2–4 log
10 CFU/g lower than that predicted by PMP. Furthermore, the MPD of pathogens decreased with decreasing temperature. The relationship between
μ
max
and temperature was linear in accordance with Ratkowsky secondary model as was the relationship between the MPD and temperature. Predictions of pathogen growth under fluctuating temperature used the Baranyi primary microbial growth model along with the Ratkowsky secondary model and MPD equation. The fluctuating temperature profile used in this study was the real temperature history measured during distribution from the field at harvesting to the retail store. Overall predictions for each pathogen agreed well with observed viable counts in most cases. The bias and root mean square error (RMSE) of the prediction were small. The prediction in which
μ
max was based on PMP showed a trend of overestimation relative to prediction based on lettuce. However, the prediction concerning
E. coli O157:H7 and
Salmonella spp. on lettuce greatly overestimated growth in the case of a temperature history starting relatively high, such as 25 °C for 5 h. In contrast, the overall prediction of
L. monocytogenes under the same circumstances agreed with the observed data.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><pmid>15979180</pmid><doi>10.1016/j.ijfoodmicro.2005.02.012</doi><tpages>10</tpages></addata></record> |
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| ispartof | International journal of food microbiology, 2005-10, Vol.104 (3), p.239-248 |
| issn | 0168-1605 1879-3460 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_19774801 |
| source | MEDLINE; Elsevier ScienceDirect Journals |
| subjects | bacterial contamination Biological and medical sciences Colony Count, Microbial Escherichia coli Escherichia coli O157 - growth & development Fluctuating temperature food contamination Food Handling - methods Food industries Food Microbiology food pathogens Fruit and vegetable industries Fundamental and applied biological sciences. Psychology head lettuce Hygiene Kinetics Lactuca - microbiology Lactuca sativa var. capitata Lettuce Listeria monocytogenes Listeria monocytogenes - growth & development microbial growth Models, Biological Pathogen growth Predictive microbiology Predictive Value of Tests Real temperature history Salmonella Salmonella - growth & development storage temperature Temperature |
| title | Prediction of pathogen growth on iceberg lettuce under real temperature history during distribution from farm to table |
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