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Species and age determination of central nervous system tissue by fatty acid patterns
The banning of specified risk materials (SRMs) from food chain is one of the most important measures to protect the consumer against any exposition with the agent of transmissible spongiform encephalopathies (TSEs). In order to control the SRM-ban, suitable methods for the detection of SRMs have to...
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Published in: | Journal of Chromatography A 2008-01, Vol.1179 (1), p.69-73 |
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cites | cdi_FETCH-LOGICAL-c445t-e043cad8894f7e26bc49f548dea180b05cd79f01d5eb81f250a0870a2b70d0173 |
container_end_page | 73 |
container_issue | 1 |
container_start_page | 69 |
container_title | Journal of Chromatography A |
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creator | Grießbach, Maria Hartmann, Franziska Massag, Nicole Baumann, Daniela Krex, Christian Biedermann, Wolfgang Truyen, Uwe Lücker, Ernst |
description | The banning of specified risk materials (SRMs) from food chain is one of the most important measures to protect the consumer against any exposition with the agent of transmissible spongiform encephalopathies (TSEs). In order to control the SRM-ban, suitable methods for the detection of SRMs have to be developed. In this study homogenized samples of central nervous system (CNS) tissue from cattle (
n
=
38), sheep (
n
=
38) and pig (
n
=
40) were analyzed by gas chromatography–mass spectrometry (GC–MS). The analysis was focused on the identification of fatty acid ratios for species differentiation and age estimation. We found a novel fatty acid ratio (C24:1(n-9)/(n-7))/(2OH–C24:1(n-9)/(n-7) for species differentiation. For the first time, we used multivariate analysis for species differentiation, based on fatty acid ratios. It showed an excellent predictive ability
(
Q
cum
2
)
Q
cum
2
=
0.842
. For age estimation in cattle CNS we discovered a novel fatty acid ratio 2OH–C25:0/2OH–C24:1(n-7). The ratio is strongly correlated with age (coefficient of correlation (
r)
=
0.935, Spearman-Rho). The corresponding regression analysis which allows the prediction of age by this ratio was acceptable (coefficient of determination (
R
2)
=
0.831). |
doi_str_mv | 10.1016/j.chroma.2007.09.055 |
format | article |
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n
=
38), sheep (
n
=
38) and pig (
n
=
40) were analyzed by gas chromatography–mass spectrometry (GC–MS). The analysis was focused on the identification of fatty acid ratios for species differentiation and age estimation. We found a novel fatty acid ratio (C24:1(n-9)/(n-7))/(2OH–C24:1(n-9)/(n-7) for species differentiation. For the first time, we used multivariate analysis for species differentiation, based on fatty acid ratios. It showed an excellent predictive ability
(
Q
cum
2
)
Q
cum
2
=
0.842
. For age estimation in cattle CNS we discovered a novel fatty acid ratio 2OH–C25:0/2OH–C24:1(n-7). The ratio is strongly correlated with age (coefficient of correlation (
r)
=
0.935, Spearman-Rho). The corresponding regression analysis which allows the prediction of age by this ratio was acceptable (coefficient of determination (
R
2)
=
0.831).</description><identifier>ISSN: 0021-9673</identifier><identifier>DOI: 10.1016/j.chroma.2007.09.055</identifier><identifier>PMID: 17936768</identifier><identifier>CODEN: JOCRAM</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Age determination ; Aging ; animal age ; Animal productions ; Animals ; Biological and medical sciences ; Brain Chemistry ; Cattle ; central nervous system ; CNS detection ; fatty acid composition ; fatty acid ratios ; fatty acids ; Fatty Acids - analysis ; Fatty Acids - isolation & purification ; Food Analysis - methods ; food contamination ; Food industries ; food safety ; Fundamental and applied biological sciences. Psychology ; gas chromatography ; Gas Chromatography-Mass Spectrometry - methods ; GC–MS ; General aspects ; Hygiene and safety ; mass spectrometry ; meat ; Nerve Tissue - chemistry ; PLS-DA ; prion diseases ; Sheep ; Species differentiation ; Species Specificity ; specified risk materials ; SRM ; Swine ; Terrestrial animal productions ; Vertebrates</subject><ispartof>Journal of Chromatography A, 2008-01, Vol.1179 (1), p.69-73</ispartof><rights>2007 Elsevier B.V.</rights><rights>2008 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c445t-e043cad8894f7e26bc49f548dea180b05cd79f01d5eb81f250a0870a2b70d0173</citedby><cites>FETCH-LOGICAL-c445t-e043cad8894f7e26bc49f548dea180b05cd79f01d5eb81f250a0870a2b70d0173</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>309,310,314,780,784,789,790,23930,23931,25140,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20062106$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17936768$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Grießbach, Maria</creatorcontrib><creatorcontrib>Hartmann, Franziska</creatorcontrib><creatorcontrib>Massag, Nicole</creatorcontrib><creatorcontrib>Baumann, Daniela</creatorcontrib><creatorcontrib>Krex, Christian</creatorcontrib><creatorcontrib>Biedermann, Wolfgang</creatorcontrib><creatorcontrib>Truyen, Uwe</creatorcontrib><creatorcontrib>Lücker, Ernst</creatorcontrib><title>Species and age determination of central nervous system tissue by fatty acid patterns</title><title>Journal of Chromatography A</title><addtitle>J Chromatogr A</addtitle><description>The banning of specified risk materials (SRMs) from food chain is one of the most important measures to protect the consumer against any exposition with the agent of transmissible spongiform encephalopathies (TSEs). In order to control the SRM-ban, suitable methods for the detection of SRMs have to be developed. In this study homogenized samples of central nervous system (CNS) tissue from cattle (
n
=
38), sheep (
n
=
38) and pig (
n
=
40) were analyzed by gas chromatography–mass spectrometry (GC–MS). The analysis was focused on the identification of fatty acid ratios for species differentiation and age estimation. We found a novel fatty acid ratio (C24:1(n-9)/(n-7))/(2OH–C24:1(n-9)/(n-7) for species differentiation. For the first time, we used multivariate analysis for species differentiation, based on fatty acid ratios. It showed an excellent predictive ability
(
Q
cum
2
)
Q
cum
2
=
0.842
. For age estimation in cattle CNS we discovered a novel fatty acid ratio 2OH–C25:0/2OH–C24:1(n-7). The ratio is strongly correlated with age (coefficient of correlation (
r)
=
0.935, Spearman-Rho). The corresponding regression analysis which allows the prediction of age by this ratio was acceptable (coefficient of determination (
R
2)
=
0.831).</description><subject>Age determination</subject><subject>Aging</subject><subject>animal age</subject><subject>Animal productions</subject><subject>Animals</subject><subject>Biological and medical sciences</subject><subject>Brain Chemistry</subject><subject>Cattle</subject><subject>central nervous system</subject><subject>CNS detection</subject><subject>fatty acid composition</subject><subject>fatty acid ratios</subject><subject>fatty acids</subject><subject>Fatty Acids - analysis</subject><subject>Fatty Acids - isolation & purification</subject><subject>Food Analysis - methods</subject><subject>food contamination</subject><subject>Food industries</subject><subject>food safety</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>gas chromatography</subject><subject>Gas Chromatography-Mass Spectrometry - methods</subject><subject>GC–MS</subject><subject>General aspects</subject><subject>Hygiene and safety</subject><subject>mass spectrometry</subject><subject>meat</subject><subject>Nerve Tissue - chemistry</subject><subject>PLS-DA</subject><subject>prion diseases</subject><subject>Sheep</subject><subject>Species differentiation</subject><subject>Species Specificity</subject><subject>specified risk materials</subject><subject>SRM</subject><subject>Swine</subject><subject>Terrestrial animal productions</subject><subject>Vertebrates</subject><issn>0021-9673</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><recordid>eNqF0U1v1DAQBuAcQG0p_QcV-AK3DWMnseMLEqqgRarEod2zNbHHxat8LLa30v57XGUFNzjZh2dejV9X1TWHmgOXn3a1_RmXCWsBoGrQNXTdq-oCQPCNlqo5r96ktAPgCpQ4q8650o1Usr-otg97soESw9kxfCLmKFOcwow5LDNbPLM054gjmyk-L4fE0jFlmlgOKR2IDUfmMecjQxsc25crxTm9rV57HBNdnc7Lavvt6-PN3eb-x-33my_3G9u2Xd4QtI1F1_e69YqEHGyrfdf2jpD3MEBnndIeuOto6LkXHSD0ClAMClx5THNZfVxz93H5daCUzRSSpXHEmcquRhWkZdP-F3LdcaGgK7BdoY1LSpG82ccwYTwaDuala7Mza9fmpWsD2pSuy9i7U_5hmMj9HToVXcCHE8BkcfQRZxvSH1eypOAgi3u_Oo-LwadYzPZBAG8Aetlw0EV8XgWVYp8DRZPKB86WXIhks3FL-PeuvwEuyqpG</recordid><startdate>20080125</startdate><enddate>20080125</enddate><creator>Grießbach, Maria</creator><creator>Hartmann, Franziska</creator><creator>Massag, Nicole</creator><creator>Baumann, Daniela</creator><creator>Krex, Christian</creator><creator>Biedermann, Wolfgang</creator><creator>Truyen, Uwe</creator><creator>Lücker, Ernst</creator><general>Elsevier B.V</general><general>Amsterdam; New York: Elsevier</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>7TK</scope><scope>7U9</scope><scope>H94</scope><scope>7X8</scope></search><sort><creationdate>20080125</creationdate><title>Species and age determination of central nervous system tissue by fatty acid patterns</title><author>Grießbach, Maria ; Hartmann, Franziska ; Massag, Nicole ; Baumann, Daniela ; Krex, Christian ; Biedermann, Wolfgang ; Truyen, Uwe ; Lücker, Ernst</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c445t-e043cad8894f7e26bc49f548dea180b05cd79f01d5eb81f250a0870a2b70d0173</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Age determination</topic><topic>Aging</topic><topic>animal age</topic><topic>Animal productions</topic><topic>Animals</topic><topic>Biological and medical sciences</topic><topic>Brain Chemistry</topic><topic>Cattle</topic><topic>central nervous system</topic><topic>CNS detection</topic><topic>fatty acid composition</topic><topic>fatty acid ratios</topic><topic>fatty acids</topic><topic>Fatty Acids - analysis</topic><topic>Fatty Acids - isolation & purification</topic><topic>Food Analysis - methods</topic><topic>food contamination</topic><topic>Food industries</topic><topic>food safety</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>gas chromatography</topic><topic>Gas Chromatography-Mass Spectrometry - methods</topic><topic>GC–MS</topic><topic>General aspects</topic><topic>Hygiene and safety</topic><topic>mass spectrometry</topic><topic>meat</topic><topic>Nerve Tissue - chemistry</topic><topic>PLS-DA</topic><topic>prion diseases</topic><topic>Sheep</topic><topic>Species differentiation</topic><topic>Species Specificity</topic><topic>specified risk materials</topic><topic>SRM</topic><topic>Swine</topic><topic>Terrestrial animal productions</topic><topic>Vertebrates</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Grießbach, Maria</creatorcontrib><creatorcontrib>Hartmann, Franziska</creatorcontrib><creatorcontrib>Massag, Nicole</creatorcontrib><creatorcontrib>Baumann, Daniela</creatorcontrib><creatorcontrib>Krex, Christian</creatorcontrib><creatorcontrib>Biedermann, Wolfgang</creatorcontrib><creatorcontrib>Truyen, Uwe</creatorcontrib><creatorcontrib>Lücker, Ernst</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>Neurosciences Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of Chromatography A</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Grießbach, Maria</au><au>Hartmann, Franziska</au><au>Massag, Nicole</au><au>Baumann, Daniela</au><au>Krex, Christian</au><au>Biedermann, Wolfgang</au><au>Truyen, Uwe</au><au>Lücker, Ernst</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Species and age determination of central nervous system tissue by fatty acid patterns</atitle><jtitle>Journal of Chromatography A</jtitle><addtitle>J Chromatogr A</addtitle><date>2008-01-25</date><risdate>2008</risdate><volume>1179</volume><issue>1</issue><spage>69</spage><epage>73</epage><pages>69-73</pages><issn>0021-9673</issn><coden>JOCRAM</coden><abstract>The banning of specified risk materials (SRMs) from food chain is one of the most important measures to protect the consumer against any exposition with the agent of transmissible spongiform encephalopathies (TSEs). In order to control the SRM-ban, suitable methods for the detection of SRMs have to be developed. In this study homogenized samples of central nervous system (CNS) tissue from cattle (
n
=
38), sheep (
n
=
38) and pig (
n
=
40) were analyzed by gas chromatography–mass spectrometry (GC–MS). The analysis was focused on the identification of fatty acid ratios for species differentiation and age estimation. We found a novel fatty acid ratio (C24:1(n-9)/(n-7))/(2OH–C24:1(n-9)/(n-7) for species differentiation. For the first time, we used multivariate analysis for species differentiation, based on fatty acid ratios. It showed an excellent predictive ability
(
Q
cum
2
)
Q
cum
2
=
0.842
. For age estimation in cattle CNS we discovered a novel fatty acid ratio 2OH–C25:0/2OH–C24:1(n-7). The ratio is strongly correlated with age (coefficient of correlation (
r)
=
0.935, Spearman-Rho). The corresponding regression analysis which allows the prediction of age by this ratio was acceptable (coefficient of determination (
R
2)
=
0.831).</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><pmid>17936768</pmid><doi>10.1016/j.chroma.2007.09.055</doi><tpages>5</tpages></addata></record> |
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source | ScienceDirect Freedom Collection 2022-2024 |
subjects | Age determination Aging animal age Animal productions Animals Biological and medical sciences Brain Chemistry Cattle central nervous system CNS detection fatty acid composition fatty acid ratios fatty acids Fatty Acids - analysis Fatty Acids - isolation & purification Food Analysis - methods food contamination Food industries food safety Fundamental and applied biological sciences. Psychology gas chromatography Gas Chromatography-Mass Spectrometry - methods GC–MS General aspects Hygiene and safety mass spectrometry meat Nerve Tissue - chemistry PLS-DA prion diseases Sheep Species differentiation Species Specificity specified risk materials SRM Swine Terrestrial animal productions Vertebrates |
title | Species and age determination of central nervous system tissue by fatty acid patterns |
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