Loading…

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...

Full description

Saved in:
Bibliographic Details
Published in:Food chemistry 2022-11, Vol.394, p.133538-133538, Article 133538
Main Authors: Chang, Wen-Hsin, Soon Ling, Yee, Wang, Ko-Chih, Nan, Fan-Hua, Chen, Wen-Ling
Format: Article
Language:English
Subjects:
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-c345t-fba4c82d33186a19289a257c6d67c2ffb1e18f12592d5299ffc97673add8e23a3
cites cdi_FETCH-LOGICAL-c345t-fba4c82d33186a19289a257c6d67c2ffb1e18f12592d5299ffc97673add8e23a3
container_end_page 133538
container_issue
container_start_page 133538
container_title Food chemistry
container_volume 394
creator Chang, Wen-Hsin
Soon Ling, Yee
Wang, Ko-Chih
Nan, Fan-Hua
Chen, Wen-Ling
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.
doi_str_mv 10.1016/j.foodchem.2022.133538
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2681813593</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S030881462201500X</els_id><sourcerecordid>2681813593</sourcerecordid><originalsourceid>FETCH-LOGICAL-c345t-fba4c82d33186a19289a257c6d67c2ffb1e18f12592d5299ffc97673add8e23a3</originalsourceid><addsrcrecordid>eNqFUE1LxDAUDKLguvoXpEcvXfOxTdObi9-wIIieQzZ5qVnadE1SwX9vSvXs6cF7M_NmBqFLglcEE369X9lhMPoD-hXFlK4IYxUTR2hBRM3KGtf0GC0ww6IUZM1P0VmMe4wxxUQs0Oudizq43nmV3OCLwRab1CmfnC6i6vppFVzrfCzG6HxbjD6p0EICU0wvnVZdYfMBwiG4TPPtOTqxqotw8TuX6P3h_u32qdy-PD7fbralZusqlXan1lpQwxgRXJGGikbRqtbc8FpTa3cEiLCEVg01FW0aa3VT85opYwRQptgSXc26hzB8jhCT7HMW6LJ7GMYoKRdEEFY1LEP5DNVhiDGAldlsr8K3JFhOJcq9_CtRTiXKucRMvJmJkIN8OQgyagdeg3EBdJJmcP9J_ABrLH-g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2681813593</pqid></control><display><type>article</type><title>Discrimination of Atlantic salmon origins using untargeted chemical fingerprinting</title><source>ScienceDirect Journals</source><creator>Chang, Wen-Hsin ; Soon Ling, Yee ; Wang, Ko-Chih ; Nan, Fan-Hua ; Chen, Wen-Ling</creator><creatorcontrib>Chang, Wen-Hsin ; Soon Ling, Yee ; Wang, Ko-Chih ; Nan, Fan-Hua ; Chen, Wen-Ling</creatorcontrib><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 &gt; 0.96, Q2 &gt; 0.81). Univariate analyses facilitated the selection of approximately 100 candidate markers with high statistical confidence (&gt; 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 &gt; 0.96, Q2 &gt; 0.81). Univariate analyses facilitated the selection of approximately 100 candidate markers with high statistical confidence (&gt; 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 &gt; 0.96, Q2 &gt; 0.81). Univariate analyses facilitated the selection of approximately 100 candidate markers with high statistical confidence (&gt; 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>
fulltext fulltext
identifier ISSN: 0308-8146
ispartof Food chemistry, 2022-11, Vol.394, p.133538-133538, Article 133538
issn 0308-8146
1873-7072
language eng
recordid cdi_proquest_miscellaneous_2681813593
source ScienceDirect Journals
subjects Atlantic salmon
chemical fingerprints
geographic origin
high-resolution mass spectrometry
untargeted analysis
title Discrimination of Atlantic salmon origins using untargeted chemical fingerprinting
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T05%3A41%3A48IST&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=Discrimination%20of%20Atlantic%20salmon%20origins%20using%20untargeted%20chemical%20fingerprinting&rft.jtitle=Food%20chemistry&rft.au=Chang,%20Wen-Hsin&rft.date=2022-11-15&rft.volume=394&rft.spage=133538&rft.epage=133538&rft.pages=133538-133538&rft.artnum=133538&rft.issn=0308-8146&rft.eissn=1873-7072&rft_id=info:doi/10.1016/j.foodchem.2022.133538&rft_dat=%3Cproquest_cross%3E2681813593%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c345t-fba4c82d33186a19289a257c6d67c2ffb1e18f12592d5299ffc97673add8e23a3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2681813593&rft_id=info:pmid/&rfr_iscdi=true