Fatty acid profiles of Sardina pilchardus muscle over the Iberian Atlantic coast and its potential use as a geographic fingerprint
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/30426 |
Resumo: | The sardine (Sardina pilchardus) is a key species in Iberian fisheries due to its cultural and economic value. Finding robust tools allowing to trace their geographic origin is paramount for valorization and sustainable stock management. The objective of this work was to assess if sardine muscle’s fatty acid signature can be used to determine its geographical origin. Seven relevant landing ports in sardine’s fishing were selected along the Iberian Atlantic coast for the sampling of this study. The first analytical step was the optimization of the extraction protocol to analyze fatty acid profiles in different biological tissues of sardines, using GC-MS. These first analyses allowed to select sardine’s white muscle as the most suitable tissue for analysis and employ a simplified extraction process. Statistical analysis of the determined fatty acid profiles resulted in a minimum 90% of accuracy probability of correct geographical origin. Correct allocation increased to, at least, 97% when utilizing an optimal fatty acid selection. The fatty acids that most contributed to discriminate between locations were 22:1 n11, 20:1 n-9, 22:5 n-3, 20:5 n-3, and 16:4 n-1. Fatty acid profiles were used to calculate lipid indexes for sardine from different locations, allowing to discriminate between different geographic origins with a minimum of 57% correct group identification. These results improved when considering only two to three locations of origin. Overall, fatty acid profiling is an efficient tool to discriminate the geographic origin of sardines captured along the Iberian Atlantic coast. There is still, however, future work to be done to analyze the interannual variability and the geographical discrimination using a larger sampling group. |
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Fatty acid profiles of Sardina pilchardus muscle over the Iberian Atlantic coast and its potential use as a geographic fingerprintBiochemistryFatty acidsGas-chromatographyMass spectrometryTraceabilityThe sardine (Sardina pilchardus) is a key species in Iberian fisheries due to its cultural and economic value. Finding robust tools allowing to trace their geographic origin is paramount for valorization and sustainable stock management. The objective of this work was to assess if sardine muscle’s fatty acid signature can be used to determine its geographical origin. Seven relevant landing ports in sardine’s fishing were selected along the Iberian Atlantic coast for the sampling of this study. The first analytical step was the optimization of the extraction protocol to analyze fatty acid profiles in different biological tissues of sardines, using GC-MS. These first analyses allowed to select sardine’s white muscle as the most suitable tissue for analysis and employ a simplified extraction process. Statistical analysis of the determined fatty acid profiles resulted in a minimum 90% of accuracy probability of correct geographical origin. Correct allocation increased to, at least, 97% when utilizing an optimal fatty acid selection. The fatty acids that most contributed to discriminate between locations were 22:1 n11, 20:1 n-9, 22:5 n-3, 20:5 n-3, and 16:4 n-1. Fatty acid profiles were used to calculate lipid indexes for sardine from different locations, allowing to discriminate between different geographic origins with a minimum of 57% correct group identification. These results improved when considering only two to three locations of origin. Overall, fatty acid profiling is an efficient tool to discriminate the geographic origin of sardines captured along the Iberian Atlantic coast. There is still, however, future work to be done to analyze the interannual variability and the geographical discrimination using a larger sampling group.A sardinha (Sardina pilchardus) é uma espécie chave nas pescarias Ibéricas devido ao seu valor cultural e económico. Encontrar ferramentas robustas que permitam rastrear a sua origem geográfica é essencial para a valorização e gestão dum stock sustentável. O objetivo deste trabalho foi avaliar se a assinatura de ácidos gordos do músculo de sardinha pode ser utilizada para determinar a sua origem geográfica. Sete portos de desembarque, relevantes na pescaria de sardinha, foram selecionados ao longo da costa Ibérica Atlântica para realizar a amostragem do presente estudo. O primeiro passo desenvolvido foi a otimização de um protocolo de extração para analisar perfis de ácidos gordos em diferentes tecidos da sardinha, utilizando GC-MS. As análises iniciais permitiram eleger o músculo branco da sardinha como o tecido mais adequado para análise e aplicar um processo simplificado de extração. A análise estatística dos perfis de ácidos gordos determinados resultou numa diferenciação com um mínimo de 90% de probabilidade de classificação de origem geográfica correta. A alocação correta do local de origem aumentou para, pelo menos, 97% quando realizada com uma seleção de ácidos gordos otimizada. Os ácidos gordos que mais contribuíram para a discriminação entre localizações foram 22:1 n-11, 20:1 n-9, 22:5 n-3, 20:5 n-3, e 16:4 n-1 Os perfis de ácidos gordos foram usados para calcular índices lipídicos para sardinhas provenientes de diferentes localizações, permitindo estes distinguir diferentes origens geográficas com um mínimo de 57% de probabilidade de identificação correta. Estes resultados melhoraram quando se consideram apenas duas ou três localizações de origem. A análise dos perfis de ácidos gordos mostrou ser uma ferramenta eficiente para discriminar a origem geográfica de sardinhas capturadas ao longo da costa Ibérica Atlântica, mas há ainda trabalho futuro que deve ser levado a cabo para se analisar a variabilidade anual e a discriminação geográfica com uma maior amostragem.2021-11-28T00:00:00Z2020-11-16T00:00:00Z2020-11-16info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10773/30426engConceição, Marcos Adriano da Palmainfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T11:58:49Zoai:ria.ua.pt:10773/30426Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:02:32.233709Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Fatty acid profiles of Sardina pilchardus muscle over the Iberian Atlantic coast and its potential use as a geographic fingerprint |
title |
Fatty acid profiles of Sardina pilchardus muscle over the Iberian Atlantic coast and its potential use as a geographic fingerprint |
spellingShingle |
Fatty acid profiles of Sardina pilchardus muscle over the Iberian Atlantic coast and its potential use as a geographic fingerprint Conceição, Marcos Adriano da Palma Biochemistry Fatty acids Gas-chromatography Mass spectrometry Traceability |
title_short |
Fatty acid profiles of Sardina pilchardus muscle over the Iberian Atlantic coast and its potential use as a geographic fingerprint |
title_full |
Fatty acid profiles of Sardina pilchardus muscle over the Iberian Atlantic coast and its potential use as a geographic fingerprint |
title_fullStr |
Fatty acid profiles of Sardina pilchardus muscle over the Iberian Atlantic coast and its potential use as a geographic fingerprint |
title_full_unstemmed |
Fatty acid profiles of Sardina pilchardus muscle over the Iberian Atlantic coast and its potential use as a geographic fingerprint |
title_sort |
Fatty acid profiles of Sardina pilchardus muscle over the Iberian Atlantic coast and its potential use as a geographic fingerprint |
author |
Conceição, Marcos Adriano da Palma |
author_facet |
Conceição, Marcos Adriano da Palma |
author_role |
author |
dc.contributor.author.fl_str_mv |
Conceição, Marcos Adriano da Palma |
dc.subject.por.fl_str_mv |
Biochemistry Fatty acids Gas-chromatography Mass spectrometry Traceability |
topic |
Biochemistry Fatty acids Gas-chromatography Mass spectrometry Traceability |
description |
The sardine (Sardina pilchardus) is a key species in Iberian fisheries due to its cultural and economic value. Finding robust tools allowing to trace their geographic origin is paramount for valorization and sustainable stock management. The objective of this work was to assess if sardine muscle’s fatty acid signature can be used to determine its geographical origin. Seven relevant landing ports in sardine’s fishing were selected along the Iberian Atlantic coast for the sampling of this study. The first analytical step was the optimization of the extraction protocol to analyze fatty acid profiles in different biological tissues of sardines, using GC-MS. These first analyses allowed to select sardine’s white muscle as the most suitable tissue for analysis and employ a simplified extraction process. Statistical analysis of the determined fatty acid profiles resulted in a minimum 90% of accuracy probability of correct geographical origin. Correct allocation increased to, at least, 97% when utilizing an optimal fatty acid selection. The fatty acids that most contributed to discriminate between locations were 22:1 n11, 20:1 n-9, 22:5 n-3, 20:5 n-3, and 16:4 n-1. Fatty acid profiles were used to calculate lipid indexes for sardine from different locations, allowing to discriminate between different geographic origins with a minimum of 57% correct group identification. These results improved when considering only two to three locations of origin. Overall, fatty acid profiling is an efficient tool to discriminate the geographic origin of sardines captured along the Iberian Atlantic coast. There is still, however, future work to be done to analyze the interannual variability and the geographical discrimination using a larger sampling group. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-11-16T00:00:00Z 2020-11-16 2021-11-28T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
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publishedVersion |
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http://hdl.handle.net/10773/30426 |
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http://hdl.handle.net/10773/30426 |
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eng |
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eng |
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application/pdf |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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