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Chemometric Differentiation of Sole and Plaice Fish Fillets Using Three Near-Infrared Instruments
Fish species substitution is one of the most common forms of fraud all over the world, as fish identification can be very challenging for both consumers and experienced inspectors in the case of fish sold as fillets. The difficulties in distinguishing among different species may generate a “grey are...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9180159/ https://www.ncbi.nlm.nih.gov/pubmed/35681393 http://dx.doi.org/10.3390/foods11111643 |
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author | Cavallini, Nicola Pennisi, Francesco Giraudo, Alessandro Pezzolato, Marzia Esposito, Giovanna Gavoci, Gentian Magnani, Luca Pianezzola, Alberto Geobaldo, Francesco Savorani, Francesco Bozzetta, Elena |
author_facet | Cavallini, Nicola Pennisi, Francesco Giraudo, Alessandro Pezzolato, Marzia Esposito, Giovanna Gavoci, Gentian Magnani, Luca Pianezzola, Alberto Geobaldo, Francesco Savorani, Francesco Bozzetta, Elena |
author_sort | Cavallini, Nicola |
collection | PubMed |
description | Fish species substitution is one of the most common forms of fraud all over the world, as fish identification can be very challenging for both consumers and experienced inspectors in the case of fish sold as fillets. The difficulties in distinguishing among different species may generate a “grey area” in which mislabelling can occur. Thus, the development of fast and reliable tools able to detect such frauds in the field is of crucial importance. In this study, we focused on the distinction between two flatfish species largely available on the market, namely the Guinean sole (Synaptura cadenati) and European plaice (Pleuronectes platessa), which are very similar looking. Fifty fillets of each species were analysed using three near-infrared (NIR) instruments: the handheld SCiO (Consumer Physics), the portable MicroNIR (VIAVI), and the benchtop MPA (Bruker). PLS-DA classification models were built using the spectral datasets, and all three instruments provided very good results, showing high accuracy: 94.1% for the SCiO and MicroNIR portable instruments, and 90.1% for the MPA benchtop spectrometer. The good classification results of the approach combining NIR spectroscopy, and simple chemometric classification methods suggest great applicability directly in the context of real-world marketplaces, as well as in official control plans. |
format | Online Article Text |
id | pubmed-9180159 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91801592022-06-10 Chemometric Differentiation of Sole and Plaice Fish Fillets Using Three Near-Infrared Instruments Cavallini, Nicola Pennisi, Francesco Giraudo, Alessandro Pezzolato, Marzia Esposito, Giovanna Gavoci, Gentian Magnani, Luca Pianezzola, Alberto Geobaldo, Francesco Savorani, Francesco Bozzetta, Elena Foods Article Fish species substitution is one of the most common forms of fraud all over the world, as fish identification can be very challenging for both consumers and experienced inspectors in the case of fish sold as fillets. The difficulties in distinguishing among different species may generate a “grey area” in which mislabelling can occur. Thus, the development of fast and reliable tools able to detect such frauds in the field is of crucial importance. In this study, we focused on the distinction between two flatfish species largely available on the market, namely the Guinean sole (Synaptura cadenati) and European plaice (Pleuronectes platessa), which are very similar looking. Fifty fillets of each species were analysed using three near-infrared (NIR) instruments: the handheld SCiO (Consumer Physics), the portable MicroNIR (VIAVI), and the benchtop MPA (Bruker). PLS-DA classification models were built using the spectral datasets, and all three instruments provided very good results, showing high accuracy: 94.1% for the SCiO and MicroNIR portable instruments, and 90.1% for the MPA benchtop spectrometer. The good classification results of the approach combining NIR spectroscopy, and simple chemometric classification methods suggest great applicability directly in the context of real-world marketplaces, as well as in official control plans. MDPI 2022-06-02 /pmc/articles/PMC9180159/ /pubmed/35681393 http://dx.doi.org/10.3390/foods11111643 Text en © 2022 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 Cavallini, Nicola Pennisi, Francesco Giraudo, Alessandro Pezzolato, Marzia Esposito, Giovanna Gavoci, Gentian Magnani, Luca Pianezzola, Alberto Geobaldo, Francesco Savorani, Francesco Bozzetta, Elena Chemometric Differentiation of Sole and Plaice Fish Fillets Using Three Near-Infrared Instruments |
title | Chemometric Differentiation of Sole and Plaice Fish Fillets Using Three Near-Infrared Instruments |
title_full | Chemometric Differentiation of Sole and Plaice Fish Fillets Using Three Near-Infrared Instruments |
title_fullStr | Chemometric Differentiation of Sole and Plaice Fish Fillets Using Three Near-Infrared Instruments |
title_full_unstemmed | Chemometric Differentiation of Sole and Plaice Fish Fillets Using Three Near-Infrared Instruments |
title_short | Chemometric Differentiation of Sole and Plaice Fish Fillets Using Three Near-Infrared Instruments |
title_sort | chemometric differentiation of sole and plaice fish fillets using three near-infrared instruments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9180159/ https://www.ncbi.nlm.nih.gov/pubmed/35681393 http://dx.doi.org/10.3390/foods11111643 |
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