Development of a food class-discrimination system by non-targeted NMR analyses using different magnetic field strengths.

Databases, Factual Food Analysis / methods Food Quality Fruit and Vegetable Juices / analysis Magnetic Fields Magnetic Resonance Spectroscopy / methods Vitis / chemistry
Chemometric analysis Fingerprinting Food authenticity Grape juice Interlaboratory variability Metabolite profiling Method validation Non-targeted NMR-based metabolomics approach

Journal

Food chemistry
ISSN: 1873-7072
Titre abrégé: Food Chem
Pays: England
ID NLM: 7702639

Informations de publication

Date de publication:
01 Dec 2020
Historique:
received: 28 02 2020
revised: 11 06 2020
accepted: 12 06 2020
pubmed: 14 7 2020
medline: 18 9 2020
entrez: 14 7 2020
Statut: ppublish

Résumé

Non-targeted NMR-based approach has received great attention as a rapid method for food product authenticity assessment. The availability of a database containing many comparable NMR spectra produced by different spectrometers is crucial to develop functional classifiers able to discriminate rapidly the commodity class of a given food product. Nevertheless, variability in spectrometer features may hamper the production of comparable spectra due to inherent variations in signal resolution. In this paper, we report on the development of a class-discrimination model for grape juice authentication by application of non-targeted NMR spectroscopy. Different approaches for the pre-treatment of data will be described along with details about the model validation. The developed model performed excellently (95.4-100% correct predictions) even when it was tested against 650 spectra produced by 65 spectrometers with different configurations (magnetic field strength, manufacturer, age). This study may boost the use of non-targeted NMR methods for food control.

Identifiants

DOI: 10.1016/j.foodchem.2020.127339 PMID: 32659697
pubmed: 32659697
pii: S0308-8146(20)31201-2
doi: 10.1016/j.foodchem.2020.127339
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

127339

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Rosa Ragone (R)

Dipartimento di Ingegneria Civile, Ambientale, del Territorio, Edile e di Chimica (DICATECh), Politecnico di Bari, via Orabona 4, I-70125 Bari, Italy.

Stefano Todisco (S)

Dipartimento di Ingegneria Civile, Ambientale, del Territorio, Edile e di Chimica (DICATECh), Politecnico di Bari, via Orabona 4, I-70125 Bari, Italy.

Maurizio Triggiani (M)

Dipartimento di Ingegneria Elettrica e dell'Informazione, Politecnico di Bari, via Orabona 4, I-70125 Bari, Italy; Innovative Solutions S.r.l. - Spin Off del Politecnico di Bari, zona H 150/B, I-70015 Noci, BA, Italy.

Stefania Pontrelli (S)

Innovative Solutions S.r.l. - Spin Off del Politecnico di Bari, zona H 150/B, I-70015 Noci, BA, Italy.

Mario Latronico (M)

Dipartimento di Ingegneria Civile, Ambientale, del Territorio, Edile e di Chimica (DICATECh), Politecnico di Bari, via Orabona 4, I-70125 Bari, Italy; Innovative Solutions S.r.l. - Spin Off del Politecnico di Bari, zona H 150/B, I-70015 Noci, BA, Italy.

Piero Mastrorilli (P)

Dipartimento di Ingegneria Civile, Ambientale, del Territorio, Edile e di Chimica (DICATECh), Politecnico di Bari, via Orabona 4, I-70125 Bari, Italy; Innovative Solutions S.r.l. - Spin Off del Politecnico di Bari, zona H 150/B, I-70015 Noci, BA, Italy.

Nicola Intini (N)

Innovative Solutions S.r.l. - Spin Off del Politecnico di Bari, zona H 150/B, I-70015 Noci, BA, Italy; Agenzia Regionale per la Prevenzione e la Protezione dell'Ambiente, ARPA Puglia, corso Trieste 127, I-70126 Bari, Italy.

Claudia Ferroni (C)

Istituto per la Sintesi Organica e la Fotoreattività Consiglio Nazionale delle Ricerche (ISOF-CNR), Via P. Gobetti 101, 40129 Bologna, Italy.

Biagia Musio (B)

Dipartimento di Ingegneria Civile, Ambientale, del Territorio, Edile e di Chimica (DICATECh), Politecnico di Bari, via Orabona 4, I-70125 Bari, Italy. Electronic address: biagia.musio@poliba.it.

Vito Gallo (V)

Dipartimento di Ingegneria Civile, Ambientale, del Territorio, Edile e di Chimica (DICATECh), Politecnico di Bari, via Orabona 4, I-70125 Bari, Italy; Innovative Solutions S.r.l. - Spin Off del Politecnico di Bari, zona H 150/B, I-70015 Noci, BA, Italy. Electronic address: vito.gallo@poliba.it.

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Classifications MeSH

questionsmedicales.fr › Sciences de l'information › Mémorisation et recherche des informations › Bases de données comme sujet › Bases de données factuelles › Development of a food class-discrimination...
questionsmedicales.fr › Technologie, industrie et agriculture › Industrie › Industrie alimentaire › Technologie alimentaire › Analyse d'aliment › Development of a food class-discrimination...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Qualité alimentaire › Development of a food class-discrimination...
questionsmedicales.fr › Aliments et boissons › Boissons › Jus de fruits et de légumes › Development of a food class-discrimination...
questionsmedicales.fr › Phénomènes physiques › Phénomènes magnétiques › Champs magnétiques › Development of a food class-discrimination...
questionsmedicales.fr › Techniques d'investigation › Techniques de chimie analytique › Analyse spectrale › Spectroscopie par résonance magnétique › Development of a food class-discrimination...
questionsmedicales.fr › Eucaryotes › Viridiplantae › Streptophyta › Embryophyta › Tracheobionta › Magnoliopsida › Vitaceae › Vitis › Development of a food class-discrimination...