1. Inorganic Elements in Mytilus galloprovincialis Shells: Geographic Traceability by Multivariate Analysis of ICP-MS Data
- Author
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Dora Melucci, Tamara Tavoloni, Martina Ciriaci, Melania Siracusa, Tiziana Forleo, Francesco Griffoni, Alessandro Zappi, Arianna Piersanti, Simone Bacchiocchi, Forleo T., Zappi A., Melucci D., Ciriaci M., Griffoni F., Bacchiocchi S., Siracusa M., Tavoloni T., and Piersanti A.
- Subjects
Multivariate statistics ,trace metals ,Mytilu ,Pharmaceutical Science ,Organic chemistry ,geographic origin ,Mytilus galloprovinciali ,010501 environmental sciences ,01 natural sciences ,Analytical Chemistry ,Animal Shell ,QD241-441 ,Drug Discovery ,Inorganic Chemical ,0303 health sciences ,biology ,Geography ,Sampling (statistics) ,Mytilus ,Chemistry (miscellaneous) ,Environmental chemistry ,Principal component analysis ,Molecular Medicine ,Environmental Monitoring ,mussel ,Mytilus galloprovincialis ,Chemometric ,Sensitivity and Specificity ,Article ,Chemometrics ,03 medical and health sciences ,Animal Shells ,Animals ,ICP-MS ,Physical and Theoretical Chemistry ,030304 developmental biology ,0105 earth and related environmental sciences ,Animal ,Mussel ,biology.organism_classification ,chemometrics ,Trace Elements ,traceability ,Trace metal ,Inorganic Chemicals ,Environmental science ,Food quality - Abstract
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.
- Published
- 2021
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