Detection and differentiation of live and heat‐treated Salmonella enterica serovars inoculated onto chicken breast using Fourier transform infrared (FT‐IR) spectroscopy

Aims: To evaluate Fourier transform infrared (FT‐IR) techniques for detecting, quantifying, and differentiating viable and heat‐treated cells of Salmonella enterica serovars from chicken breast. Methods and Results: Salmonella enterica serovars were captured from inoculated chicken breast by filtrat...

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Veröffentlicht in:Journal of applied microbiology 2010-12, Vol.109 (6), p.2019-2031
Hauptverfasser: Davis, R, Burgula, Y, Deering, A, Irudayaraj, J, Reuhs, B.L, Mauer, L.J
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container_end_page 2031
container_issue 6
container_start_page 2019
container_title Journal of applied microbiology
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creator Davis, R
Burgula, Y
Deering, A
Irudayaraj, J
Reuhs, B.L
Mauer, L.J
description Aims: To evaluate Fourier transform infrared (FT‐IR) techniques for detecting, quantifying, and differentiating viable and heat‐treated cells of Salmonella enterica serovars from chicken breast. Methods and Results: Salmonella enterica serovars were captured from inoculated chicken breast by filtration and immunomagnetic separation (IMS) prior to spectral collection using an FT‐IR spectrometer and IR microscopy. The detection limits, based on amide II peak area (1589 to 1493 cm⁻¹), for the Filtration‐FT‐IR and IMS‐FT‐IR methods were 10⁶ and 10⁴ CFU g⁻¹, respectively. The bacteria were detectable after 6 h of culture enrichment during a sensitivity experiment with lower initial inoculum of 10¹ CFU g⁻¹. Canonical variate analysis differentiated experimental from control spectra at a level of 10³ CFU g⁻¹. Partial least squares models were established for the quantification of Salm. enterica from chicken breast using Filtration‐FT‐IR (R² ≥ 0·95, RMSEC ≤ 0·62) and IMS‐FT‐IR (R² ≥ 0·80, RMSEC ≤ 1·61) methods. Filtration‐FT‐IR was also used to detect and quantify live Salm. enterica in the presence of heat‐treated cells with R² = 0·996, and this approach was comparable to the results of a commercial stain (BacLight™; R² = 0·998). Discriminant and canonical variate analyses of the spectra differentiated live and dead cells of different serovars of Salm. enterica. Conclusions: FT‐IR analysis coupled with separation methods is useful for the rapid detection and differentiation of Salm. enterica separated from chicken. Significance and Impact of the Study: FT‐IR‐based methods are faster than traditional microbiological methods and can be used for the detection of live and dead bacteria from complex foods.
doi_str_mv 10.1111/j.1365-2672.2010.04832.x
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Methods and Results: Salmonella enterica serovars were captured from inoculated chicken breast by filtration and immunomagnetic separation (IMS) prior to spectral collection using an FT‐IR spectrometer and IR microscopy. The detection limits, based on amide II peak area (1589 to 1493 cm⁻¹), for the Filtration‐FT‐IR and IMS‐FT‐IR methods were 10⁶ and 10⁴ CFU g⁻¹, respectively. The bacteria were detectable after 6 h of culture enrichment during a sensitivity experiment with lower initial inoculum of 10¹ CFU g⁻¹. Canonical variate analysis differentiated experimental from control spectra at a level of 10³ CFU g⁻¹. Partial least squares models were established for the quantification of Salm. enterica from chicken breast using Filtration‐FT‐IR (R² ≥ 0·95, RMSEC ≤ 0·62) and IMS‐FT‐IR (R² ≥ 0·80, RMSEC ≤ 1·61) methods. Filtration‐FT‐IR was also used to detect and quantify live Salm. enterica in the presence of heat‐treated cells with R² = 0·996, and this approach was comparable to the results of a commercial stain (BacLight™; R² = 0·998). Discriminant and canonical variate analyses of the spectra differentiated live and dead cells of different serovars of Salm. enterica. Conclusions: FT‐IR analysis coupled with separation methods is useful for the rapid detection and differentiation of Salm. enterica separated from chicken. Significance and Impact of the Study: FT‐IR‐based methods are faster than traditional microbiological methods and can be used for the detection of live and dead bacteria from complex foods.</description><identifier>ISSN: 1364-5072</identifier><identifier>EISSN: 1365-2672</identifier><identifier>DOI: 10.1111/j.1365-2672.2010.04832.x</identifier><identifier>PMID: 20738442</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Animals ; chicken breast ; Chickens - microbiology ; filtration ; Food Contamination ; Food Microbiology ; Fourier Analysis ; FT‐IR ; Hot Temperature ; live dead differentiation ; Meat - microbiology ; pathogen detection ; Salmonella enterica ; Salmonella enterica - isolation &amp; purification ; Spectroscopy, Fourier Transform Infrared - methods</subject><ispartof>Journal of applied microbiology, 2010-12, Vol.109 (6), p.2019-2031</ispartof><rights>2010 The Authors. Journal of Applied Microbiology © 2010 The Society for Applied Microbiology</rights><rights>2010 The Authors. Journal of Applied Microbiology © 2010 The Society for Applied Microbiology.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4252-128daed26b7e9176823c8318f7f1beb30b7d3101c8530e4f083454721ead41453</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fj.1365-2672.2010.04832.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1365-2672.2010.04832.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20738442$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Davis, R</creatorcontrib><creatorcontrib>Burgula, Y</creatorcontrib><creatorcontrib>Deering, A</creatorcontrib><creatorcontrib>Irudayaraj, J</creatorcontrib><creatorcontrib>Reuhs, B.L</creatorcontrib><creatorcontrib>Mauer, L.J</creatorcontrib><title>Detection and differentiation of live and heat‐treated Salmonella enterica serovars inoculated onto chicken breast using Fourier transform infrared (FT‐IR) spectroscopy</title><title>Journal of applied microbiology</title><addtitle>J Appl Microbiol</addtitle><description>Aims: To evaluate Fourier transform infrared (FT‐IR) techniques for detecting, quantifying, and differentiating viable and heat‐treated cells of Salmonella enterica serovars from chicken breast. Methods and Results: Salmonella enterica serovars were captured from inoculated chicken breast by filtration and immunomagnetic separation (IMS) prior to spectral collection using an FT‐IR spectrometer and IR microscopy. The detection limits, based on amide II peak area (1589 to 1493 cm⁻¹), for the Filtration‐FT‐IR and IMS‐FT‐IR methods were 10⁶ and 10⁴ CFU g⁻¹, respectively. The bacteria were detectable after 6 h of culture enrichment during a sensitivity experiment with lower initial inoculum of 10¹ CFU g⁻¹. Canonical variate analysis differentiated experimental from control spectra at a level of 10³ CFU g⁻¹. Partial least squares models were established for the quantification of Salm. enterica from chicken breast using Filtration‐FT‐IR (R² ≥ 0·95, RMSEC ≤ 0·62) and IMS‐FT‐IR (R² ≥ 0·80, RMSEC ≤ 1·61) methods. Filtration‐FT‐IR was also used to detect and quantify live Salm. enterica in the presence of heat‐treated cells with R² = 0·996, and this approach was comparable to the results of a commercial stain (BacLight™; R² = 0·998). Discriminant and canonical variate analyses of the spectra differentiated live and dead cells of different serovars of Salm. enterica. Conclusions: FT‐IR analysis coupled with separation methods is useful for the rapid detection and differentiation of Salm. enterica separated from chicken. Significance and Impact of the Study: FT‐IR‐based methods are faster than traditional microbiological methods and can be used for the detection of live and dead bacteria from complex foods.</description><subject>Animals</subject><subject>chicken breast</subject><subject>Chickens - microbiology</subject><subject>filtration</subject><subject>Food Contamination</subject><subject>Food Microbiology</subject><subject>Fourier Analysis</subject><subject>FT‐IR</subject><subject>Hot Temperature</subject><subject>live dead differentiation</subject><subject>Meat - microbiology</subject><subject>pathogen detection</subject><subject>Salmonella enterica</subject><subject>Salmonella enterica - isolation &amp; purification</subject><subject>Spectroscopy, Fourier Transform Infrared - methods</subject><issn>1364-5072</issn><issn>1365-2672</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkU1uFDEQhVsIRELgCuAdsOjBv23PgkUUGAgKQiLJ2nK7y4mHHnuwu0NmxxE4CKfiJLh7QrZ4U6V63yvbelWFCF6Qct6sF4Q1oqaNpAuKyxRzxeji9kF1eC88nHteCyzpQfUk5zXGhGHRPK4OKJZMcU4Pq9_vYAA7-BiQCR3qvHOQIAzezLPoUO9vYNauwQx_fv4aUqnQoXPTb2KAvjeo8JC8NShDijcmZeRDtGM_czEMEdlrb79BQG0x5wGN2YcrtIpj8pDQkEzILqZNsblkUjG9Wl2Uq06_vkZ5W56XYrZxu3taPXKmz_Dsrh5Vl6v3Fycf67MvH05Pjs9qy6mgNaGqM9DRppWwJLJRlFnFiHLSkRZahlvZMYKJVYJh4A4rxgWXlIDpOOGCHVUv93u3KX4fIQ9647OdvhogjlkrQXgjiML_JWVT1i2VZIV8fkeO7QY6vU1-Y9JO_4uiAG_3wA_fw-5eJ1hPkeu1npLVU7J6ilzPketb_en489QV_4u935mozVXyWV-e0ylysiSikYL9BdxCrLo</recordid><startdate>201012</startdate><enddate>201012</enddate><creator>Davis, R</creator><creator>Burgula, Y</creator><creator>Deering, A</creator><creator>Irudayaraj, J</creator><creator>Reuhs, B.L</creator><creator>Mauer, L.J</creator><general>Blackwell Publishing Ltd</general><scope>FBQ</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope><scope>7QL</scope><scope>7T7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope></search><sort><creationdate>201012</creationdate><title>Detection and differentiation of live and heat‐treated Salmonella enterica serovars inoculated onto chicken breast using Fourier transform infrared (FT‐IR) spectroscopy</title><author>Davis, R ; Burgula, Y ; Deering, A ; Irudayaraj, J ; Reuhs, B.L ; Mauer, L.J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4252-128daed26b7e9176823c8318f7f1beb30b7d3101c8530e4f083454721ead41453</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Animals</topic><topic>chicken breast</topic><topic>Chickens - microbiology</topic><topic>filtration</topic><topic>Food Contamination</topic><topic>Food Microbiology</topic><topic>Fourier Analysis</topic><topic>FT‐IR</topic><topic>Hot Temperature</topic><topic>live dead differentiation</topic><topic>Meat - microbiology</topic><topic>pathogen detection</topic><topic>Salmonella enterica</topic><topic>Salmonella enterica - isolation &amp; purification</topic><topic>Spectroscopy, Fourier Transform Infrared - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Davis, R</creatorcontrib><creatorcontrib>Burgula, Y</creatorcontrib><creatorcontrib>Deering, A</creatorcontrib><creatorcontrib>Irudayaraj, J</creatorcontrib><creatorcontrib>Reuhs, B.L</creatorcontrib><creatorcontrib>Mauer, L.J</creatorcontrib><collection>AGRIS</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</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 applied microbiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Davis, R</au><au>Burgula, Y</au><au>Deering, A</au><au>Irudayaraj, J</au><au>Reuhs, B.L</au><au>Mauer, L.J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Detection and differentiation of live and heat‐treated Salmonella enterica serovars inoculated onto chicken breast using Fourier transform infrared (FT‐IR) spectroscopy</atitle><jtitle>Journal of applied microbiology</jtitle><addtitle>J Appl Microbiol</addtitle><date>2010-12</date><risdate>2010</risdate><volume>109</volume><issue>6</issue><spage>2019</spage><epage>2031</epage><pages>2019-2031</pages><issn>1364-5072</issn><eissn>1365-2672</eissn><abstract>Aims: To evaluate Fourier transform infrared (FT‐IR) techniques for detecting, quantifying, and differentiating viable and heat‐treated cells of Salmonella enterica serovars from chicken breast. Methods and Results: Salmonella enterica serovars were captured from inoculated chicken breast by filtration and immunomagnetic separation (IMS) prior to spectral collection using an FT‐IR spectrometer and IR microscopy. The detection limits, based on amide II peak area (1589 to 1493 cm⁻¹), for the Filtration‐FT‐IR and IMS‐FT‐IR methods were 10⁶ and 10⁴ CFU g⁻¹, respectively. The bacteria were detectable after 6 h of culture enrichment during a sensitivity experiment with lower initial inoculum of 10¹ CFU g⁻¹. Canonical variate analysis differentiated experimental from control spectra at a level of 10³ CFU g⁻¹. Partial least squares models were established for the quantification of Salm. enterica from chicken breast using Filtration‐FT‐IR (R² ≥ 0·95, RMSEC ≤ 0·62) and IMS‐FT‐IR (R² ≥ 0·80, RMSEC ≤ 1·61) methods. Filtration‐FT‐IR was also used to detect and quantify live Salm. enterica in the presence of heat‐treated cells with R² = 0·996, and this approach was comparable to the results of a commercial stain (BacLight™; R² = 0·998). Discriminant and canonical variate analyses of the spectra differentiated live and dead cells of different serovars of Salm. enterica. Conclusions: FT‐IR analysis coupled with separation methods is useful for the rapid detection and differentiation of Salm. enterica separated from chicken. Significance and Impact of the Study: FT‐IR‐based methods are faster than traditional microbiological methods and can be used for the detection of live and dead bacteria from complex foods.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><pmid>20738442</pmid><doi>10.1111/j.1365-2672.2010.04832.x</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record>
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subjects Animals
chicken breast
Chickens - microbiology
filtration
Food Contamination
Food Microbiology
Fourier Analysis
FT‐IR
Hot Temperature
live dead differentiation
Meat - microbiology
pathogen detection
Salmonella enterica
Salmonella enterica - isolation & purification
Spectroscopy, Fourier Transform Infrared - methods
title Detection and differentiation of live and heat‐treated Salmonella enterica serovars inoculated onto chicken breast using Fourier transform infrared (FT‐IR) spectroscopy
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