Lipidomics Analysis of Different Marine Fish Oils Using Untargeted Liquid Chromatography–Orbitrap High-Resolution Mass Spectrometry and Chemometrics
Marine fish oils (MFOs) have been known for their nutritional compounds, which benefit human health. MFOs contain various lipids which play an essential role in human nutrition. The objective of this research was to apply untargeted lipidomics analysis using liquid chromatography–high-resolution mas...
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description | Marine fish oils (MFOs) have been known for their nutritional compounds, which benefit human health. MFOs contain various lipids which play an essential role in human nutrition. The objective of this research was to apply untargeted lipidomics analysis using liquid chromatography–high-resolution mass spectrometry (LC–HRMS) for the comprehensive identification of lipid compositions extracted from five different marine fishes, namely red snapper (
Lutjanus campechanus
(A1))
,
giant grouper (
Epinephelus lanceolatus
(A2)), baronang crochet (
Siganus canaliculatus
(B2)), white snapper (
Lates calcarifer
(C3)), skipjack tuna (
Katsuwonus pelamis
(D2)). More than 1000 lipid compounds from both positive and negative ionization modes could be detected in each MFO using LC–HRMS untargeted lipidomics analysis. Most lipids were dominated by triglycerides (TG) and diglycerides (DG) classes. Principal component analysis (PCA) and partial least square-discriminant analysis (PLS-DA) could classify MFO samples in positive and negative ionization modes. Based on variable importance for projections (VIP) value, 15 differentiating lipid compounds were found to have an essential role as potential biomarkers in positive ionization mode. In contrast, ten differentiating lipid compounds were found in negative ionization mode. It can be concluded that untargeted lipidomics using LC–HRMS could be used as a powerful analytical technique for comprehensively identifying lipid compositions in MFO samples. It can be further used to identify the lipid compositions of other fish oil samples. |
doi_str_mv | 10.1007/s10337-024-04312-4 |
format | Article |
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Lutjanus campechanus
(A1))
,
giant grouper (
Epinephelus lanceolatus
(A2)), baronang crochet (
Siganus canaliculatus
(B2)), white snapper (
Lates calcarifer
(C3)), skipjack tuna (
Katsuwonus pelamis
(D2)). More than 1000 lipid compounds from both positive and negative ionization modes could be detected in each MFO using LC–HRMS untargeted lipidomics analysis. Most lipids were dominated by triglycerides (TG) and diglycerides (DG) classes. Principal component analysis (PCA) and partial least square-discriminant analysis (PLS-DA) could classify MFO samples in positive and negative ionization modes. Based on variable importance for projections (VIP) value, 15 differentiating lipid compounds were found to have an essential role as potential biomarkers in positive ionization mode. In contrast, ten differentiating lipid compounds were found in negative ionization mode. It can be concluded that untargeted lipidomics using LC–HRMS could be used as a powerful analytical technique for comprehensively identifying lipid compositions in MFO samples. It can be further used to identify the lipid compositions of other fish oil samples.</description><identifier>ISSN: 0009-5893</identifier><identifier>EISSN: 1612-1112</identifier><identifier>DOI: 10.1007/s10337-024-04312-4</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Analytical Chemistry ; Biomarkers ; Chemistry ; Chemistry and Materials Science ; Chromatography ; Composition ; Diglycerides ; Discriminant analysis ; Fish oils ; High resolution ; Ionization ; Laboratory Medicine ; Lipids ; Liquid chromatography ; Mass spectrometry ; Original ; Pharmacy ; Principal components analysis ; Proteomics ; Scientific imaging ; Triglycerides</subject><ispartof>Chromatographia, 2024-04, Vol.87 (4), p.203-214</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c270t-ddf44941f2b7a0386970b21897291f1558780a4c8e9cfe46d96935df6ad2f1433</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10337-024-04312-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10337-024-04312-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Windarsih, Anjar</creatorcontrib><creatorcontrib>Irnawati</creatorcontrib><creatorcontrib>Suratno</creatorcontrib><creatorcontrib>Warmiko, Hendy Dwi</creatorcontrib><creatorcontrib>Alam, Lucky Prabowo Miftachul</creatorcontrib><creatorcontrib>Utami, Indrawati Dian</creatorcontrib><creatorcontrib>Rohman, Abdul</creatorcontrib><creatorcontrib>Indrianingsih, Anastasia Wheni</creatorcontrib><title>Lipidomics Analysis of Different Marine Fish Oils Using Untargeted Liquid Chromatography–Orbitrap High-Resolution Mass Spectrometry and Chemometrics</title><title>Chromatographia</title><addtitle>Chromatographia</addtitle><description>Marine fish oils (MFOs) have been known for their nutritional compounds, which benefit human health. MFOs contain various lipids which play an essential role in human nutrition. The objective of this research was to apply untargeted lipidomics analysis using liquid chromatography–high-resolution mass spectrometry (LC–HRMS) for the comprehensive identification of lipid compositions extracted from five different marine fishes, namely red snapper (
Lutjanus campechanus
(A1))
,
giant grouper (
Epinephelus lanceolatus
(A2)), baronang crochet (
Siganus canaliculatus
(B2)), white snapper (
Lates calcarifer
(C3)), skipjack tuna (
Katsuwonus pelamis
(D2)). More than 1000 lipid compounds from both positive and negative ionization modes could be detected in each MFO using LC–HRMS untargeted lipidomics analysis. Most lipids were dominated by triglycerides (TG) and diglycerides (DG) classes. Principal component analysis (PCA) and partial least square-discriminant analysis (PLS-DA) could classify MFO samples in positive and negative ionization modes. Based on variable importance for projections (VIP) value, 15 differentiating lipid compounds were found to have an essential role as potential biomarkers in positive ionization mode. In contrast, ten differentiating lipid compounds were found in negative ionization mode. It can be concluded that untargeted lipidomics using LC–HRMS could be used as a powerful analytical technique for comprehensively identifying lipid compositions in MFO samples. It can be further used to identify the lipid compositions of other fish oil samples.</description><subject>Analytical Chemistry</subject><subject>Biomarkers</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Chromatography</subject><subject>Composition</subject><subject>Diglycerides</subject><subject>Discriminant analysis</subject><subject>Fish oils</subject><subject>High resolution</subject><subject>Ionization</subject><subject>Laboratory Medicine</subject><subject>Lipids</subject><subject>Liquid chromatography</subject><subject>Mass spectrometry</subject><subject>Original</subject><subject>Pharmacy</subject><subject>Principal components analysis</subject><subject>Proteomics</subject><subject>Scientific imaging</subject><subject>Triglycerides</subject><issn>0009-5893</issn><issn>1612-1112</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kMtKAzEYhYMoWKsv4CrgejS3TiZLqVeoFNSuQzqTTFPayZg_XXTnOwg-oE9iagV3rvIfON8hfAidU3JJCZFXQAnnsiBMFERwygpxgAa0zAellB2iASFEFaNK8WN0ArDMkamyHKDPie99E9a-BnzdmdUWPODg8I13zkbbJfxkou8svvOwwFO_AjwD37V41iUTW5tsgyf-beMbPF7EsDYptNH0i-3X-8c0zn3KAT_4dlE8WwirTfKhy5MA-KW3dcqETXGLTbfj7fon5r-coiNnVmDPft8hmt3dvo4fisn0_nF8PSlqJkkqmsYJoQR1bC4N4VWpJJkzWinJFHV0NKpkRYyoK6tqZ0XZqFLxUeNK0zBHBedDdLHf7WN421hIehk2MXsAzQmXFReS0dxi-1YdA0C0TvfRr03cakr0zr_e-9fZv_7xr0WG-B6CXO5aG_-m_6G-AZfGi5s</recordid><startdate>20240401</startdate><enddate>20240401</enddate><creator>Windarsih, Anjar</creator><creator>Irnawati</creator><creator>Suratno</creator><creator>Warmiko, Hendy Dwi</creator><creator>Alam, Lucky Prabowo Miftachul</creator><creator>Utami, Indrawati Dian</creator><creator>Rohman, Abdul</creator><creator>Indrianingsih, Anastasia Wheni</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20240401</creationdate><title>Lipidomics Analysis of Different Marine Fish Oils Using Untargeted Liquid Chromatography–Orbitrap High-Resolution Mass Spectrometry and Chemometrics</title><author>Windarsih, Anjar ; Irnawati ; Suratno ; Warmiko, Hendy Dwi ; Alam, Lucky Prabowo Miftachul ; Utami, Indrawati Dian ; Rohman, Abdul ; Indrianingsih, Anastasia Wheni</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c270t-ddf44941f2b7a0386970b21897291f1558780a4c8e9cfe46d96935df6ad2f1433</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Analytical Chemistry</topic><topic>Biomarkers</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>Chromatography</topic><topic>Composition</topic><topic>Diglycerides</topic><topic>Discriminant analysis</topic><topic>Fish oils</topic><topic>High resolution</topic><topic>Ionization</topic><topic>Laboratory Medicine</topic><topic>Lipids</topic><topic>Liquid chromatography</topic><topic>Mass spectrometry</topic><topic>Original</topic><topic>Pharmacy</topic><topic>Principal components analysis</topic><topic>Proteomics</topic><topic>Scientific imaging</topic><topic>Triglycerides</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Windarsih, Anjar</creatorcontrib><creatorcontrib>Irnawati</creatorcontrib><creatorcontrib>Suratno</creatorcontrib><creatorcontrib>Warmiko, Hendy Dwi</creatorcontrib><creatorcontrib>Alam, Lucky Prabowo Miftachul</creatorcontrib><creatorcontrib>Utami, Indrawati Dian</creatorcontrib><creatorcontrib>Rohman, Abdul</creatorcontrib><creatorcontrib>Indrianingsih, Anastasia Wheni</creatorcontrib><collection>CrossRef</collection><jtitle>Chromatographia</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Windarsih, Anjar</au><au>Irnawati</au><au>Suratno</au><au>Warmiko, Hendy Dwi</au><au>Alam, Lucky Prabowo Miftachul</au><au>Utami, Indrawati Dian</au><au>Rohman, Abdul</au><au>Indrianingsih, Anastasia Wheni</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Lipidomics Analysis of Different Marine Fish Oils Using Untargeted Liquid Chromatography–Orbitrap High-Resolution Mass Spectrometry and Chemometrics</atitle><jtitle>Chromatographia</jtitle><stitle>Chromatographia</stitle><date>2024-04-01</date><risdate>2024</risdate><volume>87</volume><issue>4</issue><spage>203</spage><epage>214</epage><pages>203-214</pages><issn>0009-5893</issn><eissn>1612-1112</eissn><abstract>Marine fish oils (MFOs) have been known for their nutritional compounds, which benefit human health. MFOs contain various lipids which play an essential role in human nutrition. The objective of this research was to apply untargeted lipidomics analysis using liquid chromatography–high-resolution mass spectrometry (LC–HRMS) for the comprehensive identification of lipid compositions extracted from five different marine fishes, namely red snapper (
Lutjanus campechanus
(A1))
,
giant grouper (
Epinephelus lanceolatus
(A2)), baronang crochet (
Siganus canaliculatus
(B2)), white snapper (
Lates calcarifer
(C3)), skipjack tuna (
Katsuwonus pelamis
(D2)). More than 1000 lipid compounds from both positive and negative ionization modes could be detected in each MFO using LC–HRMS untargeted lipidomics analysis. Most lipids were dominated by triglycerides (TG) and diglycerides (DG) classes. Principal component analysis (PCA) and partial least square-discriminant analysis (PLS-DA) could classify MFO samples in positive and negative ionization modes. Based on variable importance for projections (VIP) value, 15 differentiating lipid compounds were found to have an essential role as potential biomarkers in positive ionization mode. In contrast, ten differentiating lipid compounds were found in negative ionization mode. It can be concluded that untargeted lipidomics using LC–HRMS could be used as a powerful analytical technique for comprehensively identifying lipid compositions in MFO samples. It can be further used to identify the lipid compositions of other fish oil samples.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s10337-024-04312-4</doi><tpages>12</tpages></addata></record> |
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subjects | Analytical Chemistry Biomarkers Chemistry Chemistry and Materials Science Chromatography Composition Diglycerides Discriminant analysis Fish oils High resolution Ionization Laboratory Medicine Lipids Liquid chromatography Mass spectrometry Original Pharmacy Principal components analysis Proteomics Scientific imaging Triglycerides |
title | Lipidomics Analysis of Different Marine Fish Oils Using Untargeted Liquid Chromatography–Orbitrap High-Resolution Mass Spectrometry and Chemometrics |
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