Prediction of fatty acid composition using a NIRS fibre optics probe at two different locations of ham subcutaneous fat

NIR technology was used to analyze the fatty acid composition of fat tissue from conjugated linoleic acid fed pigs by direct application of a fibre optics probe on two different locations of subcutaneous fat. One hundred and fifty-three pigs were fed three different diets and the fatty acid profile...

Full description

Saved in:
Bibliographic Details
Published in:Food research international 2010-06, Vol.43 (5), p.1416-1422
Main Authors: Pérez-Juan, María, Afseth, Nils K., González, Joel, Díaz, Isabel, Gispert, Marina, Furnols, Maria Font i, Oliver, M. Angels, Realini, Carolina E.
Format: Article
Language:English
Subjects:
Carcasses
Conjugated linoleic acid
Diets
Fatty acids
Fiber optics
Fibre optics probe
FT-NIR
Ham
Optical fibers
Pig fat
Spectra
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c341t-6ab3ba95539ba64d1b4e2d6d70fbaa5f575eb70fc885ee4ec61ba4b9b8623f693
cites cdi_FETCH-LOGICAL-c341t-6ab3ba95539ba64d1b4e2d6d70fbaa5f575eb70fc885ee4ec61ba4b9b8623f693
container_end_page 1422
container_issue 5
container_start_page 1416
container_title Food research international
container_volume 43
creator Pérez-Juan, María
Afseth, Nils K.
González, Joel
Díaz, Isabel
Gispert, Marina
Furnols, Maria Font i
Oliver, M. Angels
Realini, Carolina E.
description NIR technology was used to analyze the fatty acid composition of fat tissue from conjugated linoleic acid fed pigs by direct application of a fibre optics probe on two different locations of subcutaneous fat. One hundred and fifty-three pigs were fed three different diets and the fatty acid profile of subcutaneous fat from Gluteus medius was analyzed using gas chromatography and FT-NIR in a longitudinal and transversal cut. Spectra were acquired using a Bruker Optics Matrix-F duplex spectrometer equipped with a fibre optics probe (IN-268-2). Total saturated, monounsaturated and polyunsaturated together as well as oleic and stearic fatty acids were predicted accurately ( R 2 > 0.70), myristic, and linoleic fatty acids were predicted with lower accuracy (0.60 < R 2 < 0.70), while palmitic, asclepic and α-linolenic fatty acids were poorly predicted ( R 2 < 0.60). Results indicated that NIR technology has potential as a rapid tool to discriminate carcasses from animals fed diets with different fatty acid composition by a direct measurement on the fat from the ham.
doi_str_mv 10.1016/j.foodres.2010.04.006
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_753683062</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0963996910001067</els_id><sourcerecordid>753683062</sourcerecordid><originalsourceid>FETCH-LOGICAL-c341t-6ab3ba95539ba64d1b4e2d6d70fbaa5f575eb70fc885ee4ec61ba4b9b8623f693</originalsourceid><addsrcrecordid>eNqFkEtPAyEUhYnRxFr9CSbsXE2FMjDDyhjjKzFqfKwJMBelaYcKjE3_vYx174rAPefcw4fQKSUzSqg4X8xcCF2ENJuT8kbqGSFiD01o27CqoTXfRxMiBaukFPIQHaW0IEXBGzlBm-cInbfZhx4Hh53OeYu19R22YbUOyf9OhuT7D6zx4_3LK3beRMBhnb1NeB2DAawzzpuAO-8cROgzXgarR2caQz_1CqfB2CHrHsKQxi3H6MDpZYKTv3OK3m-u367uqoen2_ury4fKsprmSmjDjJacM2m0qDtqaph3omuIM1pzxxsOplxs23KAGqygRtdGmlbMmROSTdHZLrcU_RogZbXyycJyuauiGs5Ey0hRTxHfKW0MKUVwah39SsetokSNnNVC_XFWI2dFalUoFt_FzgflG98eokrWQ28L1gg2qy74fxJ-ALvOjCU</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>753683062</pqid></control><display><type>article</type><title>Prediction of fatty acid composition using a NIRS fibre optics probe at two different locations of ham subcutaneous fat</title><source>Elsevier</source><creator>Pérez-Juan, María ; Afseth, Nils K. ; González, Joel ; Díaz, Isabel ; Gispert, Marina ; Furnols, Maria Font i ; Oliver, M. Angels ; Realini, Carolina E.</creator><creatorcontrib>Pérez-Juan, María ; Afseth, Nils K. ; González, Joel ; Díaz, Isabel ; Gispert, Marina ; Furnols, Maria Font i ; Oliver, M. Angels ; Realini, Carolina E.</creatorcontrib><description>NIR technology was used to analyze the fatty acid composition of fat tissue from conjugated linoleic acid fed pigs by direct application of a fibre optics probe on two different locations of subcutaneous fat. One hundred and fifty-three pigs were fed three different diets and the fatty acid profile of subcutaneous fat from Gluteus medius was analyzed using gas chromatography and FT-NIR in a longitudinal and transversal cut. Spectra were acquired using a Bruker Optics Matrix-F duplex spectrometer equipped with a fibre optics probe (IN-268-2). Total saturated, monounsaturated and polyunsaturated together as well as oleic and stearic fatty acids were predicted accurately ( R 2 &gt; 0.70), myristic, and linoleic fatty acids were predicted with lower accuracy (0.60 &lt; R 2 &lt; 0.70), while palmitic, asclepic and α-linolenic fatty acids were poorly predicted ( R 2 &lt; 0.60). Results indicated that NIR technology has potential as a rapid tool to discriminate carcasses from animals fed diets with different fatty acid composition by a direct measurement on the fat from the ham.</description><identifier>ISSN: 0963-9969</identifier><identifier>EISSN: 1873-7145</identifier><identifier>DOI: 10.1016/j.foodres.2010.04.006</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Carcasses ; Conjugated linoleic acid ; Diets ; Fatty acids ; Fiber optics ; Fibre optics probe ; FT-NIR ; Ham ; Optical fibers ; Pig fat ; Spectra</subject><ispartof>Food research international, 2010-06, Vol.43 (5), p.1416-1422</ispartof><rights>2010 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c341t-6ab3ba95539ba64d1b4e2d6d70fbaa5f575eb70fc885ee4ec61ba4b9b8623f693</citedby><cites>FETCH-LOGICAL-c341t-6ab3ba95539ba64d1b4e2d6d70fbaa5f575eb70fc885ee4ec61ba4b9b8623f693</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,786,790,27957,27958</link.rule.ids></links><search><creatorcontrib>Pérez-Juan, María</creatorcontrib><creatorcontrib>Afseth, Nils K.</creatorcontrib><creatorcontrib>González, Joel</creatorcontrib><creatorcontrib>Díaz, Isabel</creatorcontrib><creatorcontrib>Gispert, Marina</creatorcontrib><creatorcontrib>Furnols, Maria Font i</creatorcontrib><creatorcontrib>Oliver, M. Angels</creatorcontrib><creatorcontrib>Realini, Carolina E.</creatorcontrib><title>Prediction of fatty acid composition using a NIRS fibre optics probe at two different locations of ham subcutaneous fat</title><title>Food research international</title><description>NIR technology was used to analyze the fatty acid composition of fat tissue from conjugated linoleic acid fed pigs by direct application of a fibre optics probe on two different locations of subcutaneous fat. One hundred and fifty-three pigs were fed three different diets and the fatty acid profile of subcutaneous fat from Gluteus medius was analyzed using gas chromatography and FT-NIR in a longitudinal and transversal cut. Spectra were acquired using a Bruker Optics Matrix-F duplex spectrometer equipped with a fibre optics probe (IN-268-2). Total saturated, monounsaturated and polyunsaturated together as well as oleic and stearic fatty acids were predicted accurately ( R 2 &gt; 0.70), myristic, and linoleic fatty acids were predicted with lower accuracy (0.60 &lt; R 2 &lt; 0.70), while palmitic, asclepic and α-linolenic fatty acids were poorly predicted ( R 2 &lt; 0.60). Results indicated that NIR technology has potential as a rapid tool to discriminate carcasses from animals fed diets with different fatty acid composition by a direct measurement on the fat from the ham.</description><subject>Carcasses</subject><subject>Conjugated linoleic acid</subject><subject>Diets</subject><subject>Fatty acids</subject><subject>Fiber optics</subject><subject>Fibre optics probe</subject><subject>FT-NIR</subject><subject>Ham</subject><subject>Optical fibers</subject><subject>Pig fat</subject><subject>Spectra</subject><issn>0963-9969</issn><issn>1873-7145</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqFkEtPAyEUhYnRxFr9CSbsXE2FMjDDyhjjKzFqfKwJMBelaYcKjE3_vYx174rAPefcw4fQKSUzSqg4X8xcCF2ENJuT8kbqGSFiD01o27CqoTXfRxMiBaukFPIQHaW0IEXBGzlBm-cInbfZhx4Hh53OeYu19R22YbUOyf9OhuT7D6zx4_3LK3beRMBhnb1NeB2DAawzzpuAO-8cROgzXgarR2caQz_1CqfB2CHrHsKQxi3H6MDpZYKTv3OK3m-u367uqoen2_ury4fKsprmSmjDjJacM2m0qDtqaph3omuIM1pzxxsOplxs23KAGqygRtdGmlbMmROSTdHZLrcU_RogZbXyycJyuauiGs5Ey0hRTxHfKW0MKUVwah39SsetokSNnNVC_XFWI2dFalUoFt_FzgflG98eokrWQ28L1gg2qy74fxJ-ALvOjCU</recordid><startdate>20100601</startdate><enddate>20100601</enddate><creator>Pérez-Juan, María</creator><creator>Afseth, Nils K.</creator><creator>González, Joel</creator><creator>Díaz, Isabel</creator><creator>Gispert, Marina</creator><creator>Furnols, Maria Font i</creator><creator>Oliver, M. Angels</creator><creator>Realini, Carolina E.</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>20100601</creationdate><title>Prediction of fatty acid composition using a NIRS fibre optics probe at two different locations of ham subcutaneous fat</title><author>Pérez-Juan, María ; Afseth, Nils K. ; González, Joel ; Díaz, Isabel ; Gispert, Marina ; Furnols, Maria Font i ; Oliver, M. Angels ; Realini, Carolina E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c341t-6ab3ba95539ba64d1b4e2d6d70fbaa5f575eb70fc885ee4ec61ba4b9b8623f693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Carcasses</topic><topic>Conjugated linoleic acid</topic><topic>Diets</topic><topic>Fatty acids</topic><topic>Fiber optics</topic><topic>Fibre optics probe</topic><topic>FT-NIR</topic><topic>Ham</topic><topic>Optical fibers</topic><topic>Pig fat</topic><topic>Spectra</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pérez-Juan, María</creatorcontrib><creatorcontrib>Afseth, Nils K.</creatorcontrib><creatorcontrib>González, Joel</creatorcontrib><creatorcontrib>Díaz, Isabel</creatorcontrib><creatorcontrib>Gispert, Marina</creatorcontrib><creatorcontrib>Furnols, Maria Font i</creatorcontrib><creatorcontrib>Oliver, M. Angels</creatorcontrib><creatorcontrib>Realini, Carolina E.</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Engineering Research Database</collection><jtitle>Food research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pérez-Juan, María</au><au>Afseth, Nils K.</au><au>González, Joel</au><au>Díaz, Isabel</au><au>Gispert, Marina</au><au>Furnols, Maria Font i</au><au>Oliver, M. Angels</au><au>Realini, Carolina E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction of fatty acid composition using a NIRS fibre optics probe at two different locations of ham subcutaneous fat</atitle><jtitle>Food research international</jtitle><date>2010-06-01</date><risdate>2010</risdate><volume>43</volume><issue>5</issue><spage>1416</spage><epage>1422</epage><pages>1416-1422</pages><issn>0963-9969</issn><eissn>1873-7145</eissn><notes>ObjectType-Article-2</notes><notes>SourceType-Scholarly Journals-1</notes><notes>ObjectType-Feature-1</notes><notes>content type line 23</notes><abstract>NIR technology was used to analyze the fatty acid composition of fat tissue from conjugated linoleic acid fed pigs by direct application of a fibre optics probe on two different locations of subcutaneous fat. One hundred and fifty-three pigs were fed three different diets and the fatty acid profile of subcutaneous fat from Gluteus medius was analyzed using gas chromatography and FT-NIR in a longitudinal and transversal cut. Spectra were acquired using a Bruker Optics Matrix-F duplex spectrometer equipped with a fibre optics probe (IN-268-2). Total saturated, monounsaturated and polyunsaturated together as well as oleic and stearic fatty acids were predicted accurately ( R 2 &gt; 0.70), myristic, and linoleic fatty acids were predicted with lower accuracy (0.60 &lt; R 2 &lt; 0.70), while palmitic, asclepic and α-linolenic fatty acids were poorly predicted ( R 2 &lt; 0.60). Results indicated that NIR technology has potential as a rapid tool to discriminate carcasses from animals fed diets with different fatty acid composition by a direct measurement on the fat from the ham.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.foodres.2010.04.006</doi><tpages>7</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0963-9969
ispartof Food research international, 2010-06, Vol.43 (5), p.1416-1422
issn 0963-9969
1873-7145
language eng
recordid cdi_proquest_miscellaneous_753683062
source Elsevier
subjects Carcasses
Conjugated linoleic acid
Diets
Fatty acids
Fiber optics
Fibre optics probe
FT-NIR
Ham
Optical fibers
Pig fat
Spectra
title Prediction of fatty acid composition using a NIRS fibre optics probe at two different locations of ham subcutaneous fat
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-09-21T14%3A00%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Prediction%20of%20fatty%20acid%20composition%20using%20a%20NIRS%20fibre%20optics%20probe%20at%20two%20different%20locations%20of%20ham%20subcutaneous%20fat&rft.jtitle=Food%20research%20international&rft.au=P%C3%A9rez-Juan,%20Mar%C3%ADa&rft.date=2010-06-01&rft.volume=43&rft.issue=5&rft.spage=1416&rft.epage=1422&rft.pages=1416-1422&rft.issn=0963-9969&rft.eissn=1873-7145&rft_id=info:doi/10.1016/j.foodres.2010.04.006&rft_dat=%3Cproquest_cross%3E753683062%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c341t-6ab3ba95539ba64d1b4e2d6d70fbaa5f575eb70fc885ee4ec61ba4b9b8623f693%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=753683062&rft_id=info:pmid/&rfr_iscdi=true