Cargando…

Inorganic Elements in Mytilus galloprovincialis Shells: Geographic Traceability by Multivariate Analysis of ICP-MS Data

The international seafood trade is based on food safety, quality, sustainability, and traceability. Mussels are bio-accumulative sessile organisms that need regular control to guarantee their safe consumption. However, no well-established and validated methods exist to trace mussel origin, even if s...

Descripción completa

Detalles Bibliográficos
Autores principales: Forleo, Tiziana, Zappi, Alessandro, Melucci, Dora, Ciriaci, Martina, Griffoni, Francesco, Bacchiocchi, Simone, Siracusa, Melania, Tavoloni, Tamara, Piersanti, Arianna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125296/
https://www.ncbi.nlm.nih.gov/pubmed/33946469
http://dx.doi.org/10.3390/molecules26092634
_version_ 1783693459571343360
author Forleo, Tiziana
Zappi, Alessandro
Melucci, Dora
Ciriaci, Martina
Griffoni, Francesco
Bacchiocchi, Simone
Siracusa, Melania
Tavoloni, Tamara
Piersanti, Arianna
author_facet Forleo, Tiziana
Zappi, Alessandro
Melucci, Dora
Ciriaci, Martina
Griffoni, Francesco
Bacchiocchi, Simone
Siracusa, Melania
Tavoloni, Tamara
Piersanti, Arianna
author_sort Forleo, Tiziana
collection PubMed
description The international seafood trade is based on food safety, quality, sustainability, and traceability. Mussels are bio-accumulative sessile organisms that need regular control to guarantee their safe consumption. However, no well-established and validated methods exist to trace mussel origin, even if several attempts have been made over the years. Recently, an inorganic multi-elemental fingerprint coupled to multivariate statistics has increasingly been applied in food quality control. The mussel shell can be an excellent reservoir of foreign inorganic chemical species, allowing recording long-term environmental changes. The present work investigates the multi-elemental composition of mussel shells, including Al, Cu, Cr, Zn, Mn, Cd, Co, U, Ba, Ni, Pb, Mg, Sr, and Ca, determined by inductively-coupled plasma mass-spectrometry in Mytilus galloprovincialis collected along the Central Adriatic Coast (Marche Region, Italy) at 25 different sampling sites (18 farms and 7 natural banks) located in seven areas. The experimental data, coupled with chemometric approaches (principal components analysis and linear discriminant analysis), were used to create a statistical model able to discriminate samples as a function of their production site. The LDA model is suitable for achieving a correct assignment of >90% of individuals sampled to their respective harvesting locations and for being applied to counteract fraud.
format Online
Article
Text
id pubmed-8125296
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-81252962021-05-17 Inorganic Elements in Mytilus galloprovincialis Shells: Geographic Traceability by Multivariate Analysis of ICP-MS Data Forleo, Tiziana Zappi, Alessandro Melucci, Dora Ciriaci, Martina Griffoni, Francesco Bacchiocchi, Simone Siracusa, Melania Tavoloni, Tamara Piersanti, Arianna Molecules Article The international seafood trade is based on food safety, quality, sustainability, and traceability. Mussels are bio-accumulative sessile organisms that need regular control to guarantee their safe consumption. However, no well-established and validated methods exist to trace mussel origin, even if several attempts have been made over the years. Recently, an inorganic multi-elemental fingerprint coupled to multivariate statistics has increasingly been applied in food quality control. The mussel shell can be an excellent reservoir of foreign inorganic chemical species, allowing recording long-term environmental changes. The present work investigates the multi-elemental composition of mussel shells, including Al, Cu, Cr, Zn, Mn, Cd, Co, U, Ba, Ni, Pb, Mg, Sr, and Ca, determined by inductively-coupled plasma mass-spectrometry in Mytilus galloprovincialis collected along the Central Adriatic Coast (Marche Region, Italy) at 25 different sampling sites (18 farms and 7 natural banks) located in seven areas. The experimental data, coupled with chemometric approaches (principal components analysis and linear discriminant analysis), were used to create a statistical model able to discriminate samples as a function of their production site. The LDA model is suitable for achieving a correct assignment of >90% of individuals sampled to their respective harvesting locations and for being applied to counteract fraud. MDPI 2021-04-30 /pmc/articles/PMC8125296/ /pubmed/33946469 http://dx.doi.org/10.3390/molecules26092634 Text en © 2021 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
Forleo, Tiziana
Zappi, Alessandro
Melucci, Dora
Ciriaci, Martina
Griffoni, Francesco
Bacchiocchi, Simone
Siracusa, Melania
Tavoloni, Tamara
Piersanti, Arianna
Inorganic Elements in Mytilus galloprovincialis Shells: Geographic Traceability by Multivariate Analysis of ICP-MS Data
title Inorganic Elements in Mytilus galloprovincialis Shells: Geographic Traceability by Multivariate Analysis of ICP-MS Data
title_full Inorganic Elements in Mytilus galloprovincialis Shells: Geographic Traceability by Multivariate Analysis of ICP-MS Data
title_fullStr Inorganic Elements in Mytilus galloprovincialis Shells: Geographic Traceability by Multivariate Analysis of ICP-MS Data
title_full_unstemmed Inorganic Elements in Mytilus galloprovincialis Shells: Geographic Traceability by Multivariate Analysis of ICP-MS Data
title_short Inorganic Elements in Mytilus galloprovincialis Shells: Geographic Traceability by Multivariate Analysis of ICP-MS Data
title_sort inorganic elements in mytilus galloprovincialis shells: geographic traceability by multivariate analysis of icp-ms data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125296/
https://www.ncbi.nlm.nih.gov/pubmed/33946469
http://dx.doi.org/10.3390/molecules26092634
work_keys_str_mv AT forleotiziana inorganicelementsinmytilusgalloprovincialisshellsgeographictraceabilitybymultivariateanalysisoficpmsdata
AT zappialessandro inorganicelementsinmytilusgalloprovincialisshellsgeographictraceabilitybymultivariateanalysisoficpmsdata
AT meluccidora inorganicelementsinmytilusgalloprovincialisshellsgeographictraceabilitybymultivariateanalysisoficpmsdata
AT ciriacimartina inorganicelementsinmytilusgalloprovincialisshellsgeographictraceabilitybymultivariateanalysisoficpmsdata
AT griffonifrancesco inorganicelementsinmytilusgalloprovincialisshellsgeographictraceabilitybymultivariateanalysisoficpmsdata
AT bacchiocchisimone inorganicelementsinmytilusgalloprovincialisshellsgeographictraceabilitybymultivariateanalysisoficpmsdata
AT siracusamelania inorganicelementsinmytilusgalloprovincialisshellsgeographictraceabilitybymultivariateanalysisoficpmsdata
AT tavolonitamara inorganicelementsinmytilusgalloprovincialisshellsgeographictraceabilitybymultivariateanalysisoficpmsdata
AT piersantiarianna inorganicelementsinmytilusgalloprovincialisshellsgeographictraceabilitybymultivariateanalysisoficpmsdata