Cargando…
Untargeted Lipidomics and Chemometric Tools for the Characterization and Discrimination of Irradiated Camembert Cheese Analyzed by UHPLC-Q-Orbitrap-MS
In this work, an investigation using UHPLC-Q-Orbitrap-MS and multivariate statistics was conducted to obtain the lipid fingerprint of Camembert cheese and to explore its correlated variation with respect to X-ray irradiation treatment. A total of 479 lipids, categorized into 16 different lipid subcl...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252943/ https://www.ncbi.nlm.nih.gov/pubmed/37297444 http://dx.doi.org/10.3390/foods12112198 |
_version_ | 1785056290741944320 |
---|---|
author | Tomaiuolo, Michele Nardelli, Valeria Mentana, Annalisa Campaniello, Maria Zianni, Rosalia Iammarino, Marco |
author_facet | Tomaiuolo, Michele Nardelli, Valeria Mentana, Annalisa Campaniello, Maria Zianni, Rosalia Iammarino, Marco |
author_sort | Tomaiuolo, Michele |
collection | PubMed |
description | In this work, an investigation using UHPLC-Q-Orbitrap-MS and multivariate statistics was conducted to obtain the lipid fingerprint of Camembert cheese and to explore its correlated variation with respect to X-ray irradiation treatment. A total of 479 lipids, categorized into 16 different lipid subclasses, were measured. Furthermore, the identification of oxidized lipids was carried out to better understand the possible phenomena of lipid oxidation related to this technological process. The results confirm that the lipidomic approach adopted is effective in implementing the knowledge of the effects of X-ray irradiation on food and evaluating its safety aspects. Furthermore, Partial Least Squares-Discriminant Analysis (PLS-DA) and Linear Discriminant Analysis (LDA) were applied showing high discriminating ability with excellent values of accuracy, specificity and sensitivity. Through the PLS-DA and LDA models, it was possible to select 40 and 24 lipids, respectively, including 3 ceramides (Cer), 1 hexosyl ceramide (HexCer), 1 lysophosphatidylcholine (LPC), 1 lysophosphatidylethanolamine (LPE), 3 phosphatidic acids (PA), 4 phosphatidylcholines (PC), 10 phosphatidylethanolamines (PE), 5 phosphatidylinositols (PI), 2 phosphatidylserines (PS), 3 diacylglycerols (DG) and 9 oxidized triacylglycerols (OxTG) as potential markers of treatment useful in food safety control plans. |
format | Online Article Text |
id | pubmed-10252943 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102529432023-06-10 Untargeted Lipidomics and Chemometric Tools for the Characterization and Discrimination of Irradiated Camembert Cheese Analyzed by UHPLC-Q-Orbitrap-MS Tomaiuolo, Michele Nardelli, Valeria Mentana, Annalisa Campaniello, Maria Zianni, Rosalia Iammarino, Marco Foods Article In this work, an investigation using UHPLC-Q-Orbitrap-MS and multivariate statistics was conducted to obtain the lipid fingerprint of Camembert cheese and to explore its correlated variation with respect to X-ray irradiation treatment. A total of 479 lipids, categorized into 16 different lipid subclasses, were measured. Furthermore, the identification of oxidized lipids was carried out to better understand the possible phenomena of lipid oxidation related to this technological process. The results confirm that the lipidomic approach adopted is effective in implementing the knowledge of the effects of X-ray irradiation on food and evaluating its safety aspects. Furthermore, Partial Least Squares-Discriminant Analysis (PLS-DA) and Linear Discriminant Analysis (LDA) were applied showing high discriminating ability with excellent values of accuracy, specificity and sensitivity. Through the PLS-DA and LDA models, it was possible to select 40 and 24 lipids, respectively, including 3 ceramides (Cer), 1 hexosyl ceramide (HexCer), 1 lysophosphatidylcholine (LPC), 1 lysophosphatidylethanolamine (LPE), 3 phosphatidic acids (PA), 4 phosphatidylcholines (PC), 10 phosphatidylethanolamines (PE), 5 phosphatidylinositols (PI), 2 phosphatidylserines (PS), 3 diacylglycerols (DG) and 9 oxidized triacylglycerols (OxTG) as potential markers of treatment useful in food safety control plans. MDPI 2023-05-30 /pmc/articles/PMC10252943/ /pubmed/37297444 http://dx.doi.org/10.3390/foods12112198 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Tomaiuolo, Michele Nardelli, Valeria Mentana, Annalisa Campaniello, Maria Zianni, Rosalia Iammarino, Marco Untargeted Lipidomics and Chemometric Tools for the Characterization and Discrimination of Irradiated Camembert Cheese Analyzed by UHPLC-Q-Orbitrap-MS |
title | Untargeted Lipidomics and Chemometric Tools for the Characterization and Discrimination of Irradiated Camembert Cheese Analyzed by UHPLC-Q-Orbitrap-MS |
title_full | Untargeted Lipidomics and Chemometric Tools for the Characterization and Discrimination of Irradiated Camembert Cheese Analyzed by UHPLC-Q-Orbitrap-MS |
title_fullStr | Untargeted Lipidomics and Chemometric Tools for the Characterization and Discrimination of Irradiated Camembert Cheese Analyzed by UHPLC-Q-Orbitrap-MS |
title_full_unstemmed | Untargeted Lipidomics and Chemometric Tools for the Characterization and Discrimination of Irradiated Camembert Cheese Analyzed by UHPLC-Q-Orbitrap-MS |
title_short | Untargeted Lipidomics and Chemometric Tools for the Characterization and Discrimination of Irradiated Camembert Cheese Analyzed by UHPLC-Q-Orbitrap-MS |
title_sort | untargeted lipidomics and chemometric tools for the characterization and discrimination of irradiated camembert cheese analyzed by uhplc-q-orbitrap-ms |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252943/ https://www.ncbi.nlm.nih.gov/pubmed/37297444 http://dx.doi.org/10.3390/foods12112198 |
work_keys_str_mv | AT tomaiuolomichele untargetedlipidomicsandchemometrictoolsforthecharacterizationanddiscriminationofirradiatedcamembertcheeseanalyzedbyuhplcqorbitrapms AT nardellivaleria untargetedlipidomicsandchemometrictoolsforthecharacterizationanddiscriminationofirradiatedcamembertcheeseanalyzedbyuhplcqorbitrapms AT mentanaannalisa untargetedlipidomicsandchemometrictoolsforthecharacterizationanddiscriminationofirradiatedcamembertcheeseanalyzedbyuhplcqorbitrapms AT campaniellomaria untargetedlipidomicsandchemometrictoolsforthecharacterizationanddiscriminationofirradiatedcamembertcheeseanalyzedbyuhplcqorbitrapms AT ziannirosalia untargetedlipidomicsandchemometrictoolsforthecharacterizationanddiscriminationofirradiatedcamembertcheeseanalyzedbyuhplcqorbitrapms AT iammarinomarco untargetedlipidomicsandchemometrictoolsforthecharacterizationanddiscriminationofirradiatedcamembertcheeseanalyzedbyuhplcqorbitrapms |