Development of a food class-discrimination system by non-targeted NMR analyses using different magnetic field strengths
| Autor: | Claudia Ferroni, Rosa Ragone, Mario Latronico, Vito Gallo, Stefano Todisco, Stefania Pontrelli, Maurizio Triggiani, Piero Mastrorilli, Biagia Musio, Nicola Intini |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Non targeted
Magnetic Resonance Spectroscopy Resolution (mass spectrometry) Databases Factual Computer science Method validation Grape juice Interlaboratory variability 01 natural sciences Analytical Chemistry Model validation 0404 agricultural biotechnology Metabolite profiling Non-targeted NMR-based metabolomics approach Food Quality Vitis Chemometric analysis Fingerprinting Spectrometer 010401 analytical chemistry 04 agricultural and veterinary sciences General Medicine Nuclear magnetic resonance spectroscopy Class discrimination 040401 food science Food authenticity 0104 chemical sciences Magnetic field NMR spectra database Fruit and Vegetable Juices Magnetic Fields Biological system Food Analysis Food Science |
| Zdroj: | Food chemistry 332 (2020): 127339-1–127339-8. doi:10.1016/j.foodchem.2020.127339 info:cnr-pdr/source/autori:Ragone, Rosa; Todisco, Stefano; Triggiani, Maurizio; Pontrelli, Stefania; Latronico, Mario; Mastrorilli, Piero; Intini, Nicola; Ferroni, Claudia; Musio, Biagia; Gallo, Vito/titolo:Development of a food class-discrimination system by non-targeted NMR analyses using different magnetic field strengths/doi:10.1016%2Fj.foodchem.2020.127339/rivista:Food chemistry/anno:2020/pagina_da:127339-1/pagina_a:127339-8/intervallo_pagine:127339-1–127339-8/volume:332 |
| DOI: | 10.1016/j.foodchem.2020.127339 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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