Determination of capsaicinoids and carotenoids for the characterization and geographical origin authentication of paprika by UHPLC–APCI–HRMS
The production area mislabeling of a food product is considered a fraudulent practice worldwide. In this work, a method that uses ultra-high-performance liquid chromatography coupled to high-resolution mass spectrometry using atmospheric pressure chemical ionization (UHPLC–APCI–HRMS) was used for th...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Universidad del País Vasco |
| Repositorio: | Addi. Archivo Digital para la Docencia y la Investigación |
| OAI Identifier: | oai:dnet:addi________::718ea2e84f38565b4c6ff859dba67112 |
| Acceso en línea: | http://hdl.handle.net/10810/78780 |
| Access Level: | acceso abierto |
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Determination of capsaicinoids and carotenoids for the characterization and geographical origin authentication of paprika by UHPLC–APCI–HRMSArrizabalaga Larrañaga, AneCampmajó, GuillemSaurina, JavierNúñez, OscarSantos, Francisco JavierMoyano, EncarnaciónThe production area mislabeling of a food product is considered a fraudulent practice worldwide. In this work, a method that uses ultra-high-performance liquid chromatography coupled to high-resolution mass spectrometry using atmospheric pressure chemical ionization (UHPLC–APCI–HRMS) was used for the geographical origin authentication of paprika based on the determination of capsaicinoids and carotenoids. Satisfactory instrumental method performance was obtained, providing good linearity (R2 > 0.998), run-to-run and day-to-day precisions (%RSD < 15 and 10%, respectively), and trueness (relative errors < 10%), while method limits of quantification were between 0.21 and 51 mg·kg–1. Capsaicinoids and carotenoids were determined in 136 paprika samples, from different origins (La Vera, Murcia, Hungary, and the Czech Republic) and types (hot, sweet, and bittersweet). The composition of capsaicinoids and carotenoids was used as chemical descriptors to achieve paprika authentication through a classification decision tree built by partial least squares regression−discriminant analysis (PLS-DA) models and reaching a rate of 80.9%.Authors acknowledge the financial support from the Spanish Ministry of Science, Innovation and Universities (PGC2018-095013-B-I00), and from the Agency for Management of University and Research Grants, Government of Catalonia (2017SGR–310). Ane Arrizabalaga-Larrañaga thanks the Agency for Management of University and Research Grants and the European Social Fund for the PhD FI–DGR fellowship and Guillem Campmajó thanks the University of Barcelona for the PhD APIF fellowship.Elsevier202620262020info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/78780reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoIngléshttps://doi.org/10.1016/j.lwt.2020.110533info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/© 2020 Elsevier under CC BY-NC-ND licenseoai:dnet:addi________::718ea2e84f38565b4c6ff859dba671122026-06-18T09:23:17Z |
| dc.title.none.fl_str_mv |
Determination of capsaicinoids and carotenoids for the characterization and geographical origin authentication of paprika by UHPLC–APCI–HRMS |
| title |
Determination of capsaicinoids and carotenoids for the characterization and geographical origin authentication of paprika by UHPLC–APCI–HRMS |
| spellingShingle |
Determination of capsaicinoids and carotenoids for the characterization and geographical origin authentication of paprika by UHPLC–APCI–HRMS Arrizabalaga Larrañaga, Ane |
| title_short |
Determination of capsaicinoids and carotenoids for the characterization and geographical origin authentication of paprika by UHPLC–APCI–HRMS |
| title_full |
Determination of capsaicinoids and carotenoids for the characterization and geographical origin authentication of paprika by UHPLC–APCI–HRMS |
| title_fullStr |
Determination of capsaicinoids and carotenoids for the characterization and geographical origin authentication of paprika by UHPLC–APCI–HRMS |
| title_full_unstemmed |
Determination of capsaicinoids and carotenoids for the characterization and geographical origin authentication of paprika by UHPLC–APCI–HRMS |
| title_sort |
Determination of capsaicinoids and carotenoids for the characterization and geographical origin authentication of paprika by UHPLC–APCI–HRMS |
| dc.creator.none.fl_str_mv |
Arrizabalaga Larrañaga, Ane Campmajó, Guillem Saurina, Javier Núñez, Oscar Santos, Francisco Javier Moyano, Encarnación |
| author |
Arrizabalaga Larrañaga, Ane |
| author_facet |
Arrizabalaga Larrañaga, Ane Campmajó, Guillem Saurina, Javier Núñez, Oscar Santos, Francisco Javier Moyano, Encarnación |
| author_role |
author |
| author2 |
Campmajó, Guillem Saurina, Javier Núñez, Oscar Santos, Francisco Javier Moyano, Encarnación |
| author2_role |
author author author author author |
| description |
The production area mislabeling of a food product is considered a fraudulent practice worldwide. In this work, a method that uses ultra-high-performance liquid chromatography coupled to high-resolution mass spectrometry using atmospheric pressure chemical ionization (UHPLC–APCI–HRMS) was used for the geographical origin authentication of paprika based on the determination of capsaicinoids and carotenoids. Satisfactory instrumental method performance was obtained, providing good linearity (R2 > 0.998), run-to-run and day-to-day precisions (%RSD < 15 and 10%, respectively), and trueness (relative errors < 10%), while method limits of quantification were between 0.21 and 51 mg·kg–1. Capsaicinoids and carotenoids were determined in 136 paprika samples, from different origins (La Vera, Murcia, Hungary, and the Czech Republic) and types (hot, sweet, and bittersweet). The composition of capsaicinoids and carotenoids was used as chemical descriptors to achieve paprika authentication through a classification decision tree built by partial least squares regression−discriminant analysis (PLS-DA) models and reaching a rate of 80.9%. |
| publishDate |
2020 |
| dc.date.none.fl_str_mv |
2020 2026 2026 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10810/78780 |
| url |
http://hdl.handle.net/10810/78780 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
https://doi.org/10.1016/j.lwt.2020.110533 |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-nd/4.0/ © 2020 Elsevier under CC BY-NC-ND license |
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openAccess |
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https://creativecommons.org/licenses/by-nc-nd/4.0/ © 2020 Elsevier under CC BY-NC-ND license |
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application/pdf |
| dc.publisher.none.fl_str_mv |
Elsevier |
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Elsevier |
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reponame:Addi. Archivo Digital para la Docencia y la Investigación instname:Universidad del País Vasco |
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Universidad del País Vasco |
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Addi. Archivo Digital para la Docencia y la Investigación |
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Addi. Archivo Digital para la Docencia y la Investigación |
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