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Advances in the analysis of complex food matrices: Species identification in surimi-based products using Next Generation Sequencing technologies
The Next Generation Sequencing (NGS) technologies represent a turning point in the food inspection field, particularly for species identification in matrices composed of a blend of two or more species. In this study NGS technologies were applied by testing the usefulness of the Ion Torrent Personal...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5624605/ https://www.ncbi.nlm.nih.gov/pubmed/28968423 http://dx.doi.org/10.1371/journal.pone.0185586 |
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author | Giusti, Alice Armani, Andrea Sotelo, Carmen G. |
author_facet | Giusti, Alice Armani, Andrea Sotelo, Carmen G. |
author_sort | Giusti, Alice |
collection | PubMed |
description | The Next Generation Sequencing (NGS) technologies represent a turning point in the food inspection field, particularly for species identification in matrices composed of a blend of two or more species. In this study NGS technologies were applied by testing the usefulness of the Ion Torrent Personal Genome Machine (PGM) in seafood traceability. Sixteen commercial surimi samples produced both in EU and non-EU countries were analysed. Libraries were prepared using a universal primer pair able to amplify a short 16SrRNA fragment from a wide range of fish and cephalopod species. The mislabelling rate of the samples was also evaluated. Overall, DNA from 13 families, 19 genera and 16 species of fish, and from 3 families, 3 genera and 3 species of cephalopods was found with the analysis. Samples produced in non-EU countries exhibited a higher variability in their composition. 37.5% of the surimi products were found to be mislabelled. Among them, 25% voluntary declared a species different from those identified and 25% (all produced in non-EU countries) did not report the presence of molluscs on the label, posing a potential health threat for allergic consumers. The use of vulnerable species was also proved. Although the protocol should be further optimized, PGM platform proved to be a useful tool for the analysis of complex, highly processed products. |
format | Online Article Text |
id | pubmed-5624605 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-56246052017-10-17 Advances in the analysis of complex food matrices: Species identification in surimi-based products using Next Generation Sequencing technologies Giusti, Alice Armani, Andrea Sotelo, Carmen G. PLoS One Research Article The Next Generation Sequencing (NGS) technologies represent a turning point in the food inspection field, particularly for species identification in matrices composed of a blend of two or more species. In this study NGS technologies were applied by testing the usefulness of the Ion Torrent Personal Genome Machine (PGM) in seafood traceability. Sixteen commercial surimi samples produced both in EU and non-EU countries were analysed. Libraries were prepared using a universal primer pair able to amplify a short 16SrRNA fragment from a wide range of fish and cephalopod species. The mislabelling rate of the samples was also evaluated. Overall, DNA from 13 families, 19 genera and 16 species of fish, and from 3 families, 3 genera and 3 species of cephalopods was found with the analysis. Samples produced in non-EU countries exhibited a higher variability in their composition. 37.5% of the surimi products were found to be mislabelled. Among them, 25% voluntary declared a species different from those identified and 25% (all produced in non-EU countries) did not report the presence of molluscs on the label, posing a potential health threat for allergic consumers. The use of vulnerable species was also proved. Although the protocol should be further optimized, PGM platform proved to be a useful tool for the analysis of complex, highly processed products. Public Library of Science 2017-10-02 /pmc/articles/PMC5624605/ /pubmed/28968423 http://dx.doi.org/10.1371/journal.pone.0185586 Text en © 2017 Giusti et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Giusti, Alice Armani, Andrea Sotelo, Carmen G. Advances in the analysis of complex food matrices: Species identification in surimi-based products using Next Generation Sequencing technologies |
title | Advances in the analysis of complex food matrices: Species identification in surimi-based products using Next Generation Sequencing technologies |
title_full | Advances in the analysis of complex food matrices: Species identification in surimi-based products using Next Generation Sequencing technologies |
title_fullStr | Advances in the analysis of complex food matrices: Species identification in surimi-based products using Next Generation Sequencing technologies |
title_full_unstemmed | Advances in the analysis of complex food matrices: Species identification in surimi-based products using Next Generation Sequencing technologies |
title_short | Advances in the analysis of complex food matrices: Species identification in surimi-based products using Next Generation Sequencing technologies |
title_sort | advances in the analysis of complex food matrices: species identification in surimi-based products using next generation sequencing technologies |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5624605/ https://www.ncbi.nlm.nih.gov/pubmed/28968423 http://dx.doi.org/10.1371/journal.pone.0185586 |
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