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Discrimination of Atlantic salmon origins using untargeted chemical fingerprinting
[Display omitted] •Small-molecular features in Atlantic salmon were acquired using LC-HRMS.•Origin discrimination was accomplished using untargeted fingerprinting.•95 candidate markers of origins were selected by univariate analyses.•37 confirmed markers were related to feed formulations and environ...
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Published in: | Food chemistry 2022-11, Vol.394, p.133538-133538, Article 133538 |
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container_title | Food chemistry |
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creator | Chang, Wen-Hsin Soon Ling, Yee Wang, Ko-Chih Nan, Fan-Hua Chen, Wen-Ling |
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•Small-molecular features in Atlantic salmon were acquired using LC-HRMS.•Origin discrimination was accomplished using untargeted fingerprinting.•95 candidate markers of origins were selected by univariate analyses.•37 confirmed markers were related to feed formulations and environment adaptation.•None of the markers were residues or contaminants of potential food safety concern.
Mislabelling the geographic origin of same-species aquaculture products is difficult to identify. This study applied untargeted small-molecule fingerprinting to discriminating between Atlantic salmon originating from Chile and Norway. The acquired liquid chromatography-high-resolution mass spectrometry data from Chilean (n = 32) and Norwegian (n = 29) salmon were chemometrically processed. The partial least squares discriminant analysis (PLS-DA) models successfully discriminated between Chilean and Norwegian salmon at both positive and negative ionisation modes (R2 > 0.96, Q2 > 0.81). Univariate analyses facilitated the selection of approximately 100 candidate markers with high statistical confidence (> 95%). Of these, 37 confirmed markers of Chilean and Norwegian salmon were primarily associated with feed formulations, including lipid derivatives and feed additives. None of the markers were residues or contaminants of potential food safety concern. |
doi_str_mv | 10.1016/j.foodchem.2022.133538 |
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•Small-molecular features in Atlantic salmon were acquired using LC-HRMS.•Origin discrimination was accomplished using untargeted fingerprinting.•95 candidate markers of origins were selected by univariate analyses.•37 confirmed markers were related to feed formulations and environment adaptation.•None of the markers were residues or contaminants of potential food safety concern.
Mislabelling the geographic origin of same-species aquaculture products is difficult to identify. This study applied untargeted small-molecule fingerprinting to discriminating between Atlantic salmon originating from Chile and Norway. The acquired liquid chromatography-high-resolution mass spectrometry data from Chilean (n = 32) and Norwegian (n = 29) salmon were chemometrically processed. The partial least squares discriminant analysis (PLS-DA) models successfully discriminated between Chilean and Norwegian salmon at both positive and negative ionisation modes (R2 > 0.96, Q2 > 0.81). Univariate analyses facilitated the selection of approximately 100 candidate markers with high statistical confidence (> 95%). Of these, 37 confirmed markers of Chilean and Norwegian salmon were primarily associated with feed formulations, including lipid derivatives and feed additives. None of the markers were residues or contaminants of potential food safety concern.</description><identifier>ISSN: 0308-8146</identifier><identifier>EISSN: 1873-7072</identifier><identifier>DOI: 10.1016/j.foodchem.2022.133538</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Atlantic salmon ; chemical fingerprints ; geographic origin ; high-resolution mass spectrometry ; untargeted analysis</subject><ispartof>Food chemistry, 2022-11, Vol.394, p.133538-133538, Article 133538</ispartof><rights>2022 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c345t-fba4c82d33186a19289a257c6d67c2ffb1e18f12592d5299ffc97673add8e23a3</citedby><cites>FETCH-LOGICAL-c345t-fba4c82d33186a19289a257c6d67c2ffb1e18f12592d5299ffc97673add8e23a3</cites></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></links><search><creatorcontrib>Chang, Wen-Hsin</creatorcontrib><creatorcontrib>Soon Ling, Yee</creatorcontrib><creatorcontrib>Wang, Ko-Chih</creatorcontrib><creatorcontrib>Nan, Fan-Hua</creatorcontrib><creatorcontrib>Chen, Wen-Ling</creatorcontrib><title>Discrimination of Atlantic salmon origins using untargeted chemical fingerprinting</title><title>Food chemistry</title><description>[Display omitted]
•Small-molecular features in Atlantic salmon were acquired using LC-HRMS.•Origin discrimination was accomplished using untargeted fingerprinting.•95 candidate markers of origins were selected by univariate analyses.•37 confirmed markers were related to feed formulations and environment adaptation.•None of the markers were residues or contaminants of potential food safety concern.
Mislabelling the geographic origin of same-species aquaculture products is difficult to identify. This study applied untargeted small-molecule fingerprinting to discriminating between Atlantic salmon originating from Chile and Norway. The acquired liquid chromatography-high-resolution mass spectrometry data from Chilean (n = 32) and Norwegian (n = 29) salmon were chemometrically processed. The partial least squares discriminant analysis (PLS-DA) models successfully discriminated between Chilean and Norwegian salmon at both positive and negative ionisation modes (R2 > 0.96, Q2 > 0.81). Univariate analyses facilitated the selection of approximately 100 candidate markers with high statistical confidence (> 95%). Of these, 37 confirmed markers of Chilean and Norwegian salmon were primarily associated with feed formulations, including lipid derivatives and feed additives. None of the markers were residues or contaminants of potential food safety concern.</description><subject>Atlantic salmon</subject><subject>chemical fingerprints</subject><subject>geographic origin</subject><subject>high-resolution mass spectrometry</subject><subject>untargeted analysis</subject><issn>0308-8146</issn><issn>1873-7072</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNqFUE1LxDAUDKLguvoXpEcvXfOxTdObi9-wIIieQzZ5qVnadE1SwX9vSvXs6cF7M_NmBqFLglcEE369X9lhMPoD-hXFlK4IYxUTR2hBRM3KGtf0GC0ww6IUZM1P0VmMe4wxxUQs0Oudizq43nmV3OCLwRab1CmfnC6i6vppFVzrfCzG6HxbjD6p0EICU0wvnVZdYfMBwiG4TPPtOTqxqotw8TuX6P3h_u32qdy-PD7fbralZusqlXan1lpQwxgRXJGGikbRqtbc8FpTa3cEiLCEVg01FW0aa3VT85opYwRQptgSXc26hzB8jhCT7HMW6LJ7GMYoKRdEEFY1LEP5DNVhiDGAldlsr8K3JFhOJcq9_CtRTiXKucRMvJmJkIN8OQgyagdeg3EBdJJmcP9J_ABrLH-g</recordid><startdate>20221115</startdate><enddate>20221115</enddate><creator>Chang, Wen-Hsin</creator><creator>Soon Ling, Yee</creator><creator>Wang, Ko-Chih</creator><creator>Nan, Fan-Hua</creator><creator>Chen, Wen-Ling</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20221115</creationdate><title>Discrimination of Atlantic salmon origins using untargeted chemical fingerprinting</title><author>Chang, Wen-Hsin ; Soon Ling, Yee ; Wang, Ko-Chih ; Nan, Fan-Hua ; Chen, Wen-Ling</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c345t-fba4c82d33186a19289a257c6d67c2ffb1e18f12592d5299ffc97673add8e23a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Atlantic salmon</topic><topic>chemical fingerprints</topic><topic>geographic origin</topic><topic>high-resolution mass spectrometry</topic><topic>untargeted analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chang, Wen-Hsin</creatorcontrib><creatorcontrib>Soon Ling, Yee</creatorcontrib><creatorcontrib>Wang, Ko-Chih</creatorcontrib><creatorcontrib>Nan, Fan-Hua</creatorcontrib><creatorcontrib>Chen, Wen-Ling</creatorcontrib><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Food chemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chang, Wen-Hsin</au><au>Soon Ling, Yee</au><au>Wang, Ko-Chih</au><au>Nan, Fan-Hua</au><au>Chen, Wen-Ling</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Discrimination of Atlantic salmon origins using untargeted chemical fingerprinting</atitle><jtitle>Food chemistry</jtitle><date>2022-11-15</date><risdate>2022</risdate><volume>394</volume><spage>133538</spage><epage>133538</epage><pages>133538-133538</pages><artnum>133538</artnum><issn>0308-8146</issn><eissn>1873-7072</eissn><abstract>[Display omitted]
•Small-molecular features in Atlantic salmon were acquired using LC-HRMS.•Origin discrimination was accomplished using untargeted fingerprinting.•95 candidate markers of origins were selected by univariate analyses.•37 confirmed markers were related to feed formulations and environment adaptation.•None of the markers were residues or contaminants of potential food safety concern.
Mislabelling the geographic origin of same-species aquaculture products is difficult to identify. This study applied untargeted small-molecule fingerprinting to discriminating between Atlantic salmon originating from Chile and Norway. The acquired liquid chromatography-high-resolution mass spectrometry data from Chilean (n = 32) and Norwegian (n = 29) salmon were chemometrically processed. The partial least squares discriminant analysis (PLS-DA) models successfully discriminated between Chilean and Norwegian salmon at both positive and negative ionisation modes (R2 > 0.96, Q2 > 0.81). Univariate analyses facilitated the selection of approximately 100 candidate markers with high statistical confidence (> 95%). Of these, 37 confirmed markers of Chilean and Norwegian salmon were primarily associated with feed formulations, including lipid derivatives and feed additives. None of the markers were residues or contaminants of potential food safety concern.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.foodchem.2022.133538</doi><tpages>1</tpages></addata></record> |
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subjects | Atlantic salmon chemical fingerprints geographic origin high-resolution mass spectrometry untargeted analysis |
title | Discrimination of Atlantic salmon origins using untargeted chemical fingerprinting |
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