Non-Targeted Nuclear Magnetic Resonance Analysis for Food Authenticity: A Comparative Study on Tomato Samples

被引:0
|
作者
Musio, Biagia [1 ]
Ragone, Rosa [1 ]
Todisco, Stefano [1 ]
Rizzuti, Antonino [1 ]
Iorio, Egidio [2 ]
Chirico, Mattea [2 ]
Pisanu, Maria Elena [2 ]
Meloni, Nadia [3 ]
Mastrorilli, Piero [1 ,4 ]
Gallo, Vito [1 ,4 ]
机构
[1] Polytech Univ Bari, Dept Civil Environm Land Bldg Engn & Chem DICATECh, Via Orabona 4, I-70125 Bari, Italy
[2] Ist Super Sanita, Core Facil, Viale Regina Elena 299, I-00161 Rome, Italy
[3] Agenzia Reg Protez Ambientale Lazio, Dipartimento Prevenz & Lab Integrato, Serv Coordinamento Att Lab, Unita Lab Chim Latina, Via Mario Siciliano 1, I-04100 Latina, Italy
[4] Polytech Univ Bari, Innovat Solut Srl, Spin Off Co, Zona H 150-B, I-70015 Noci, Italy
来源
MOLECULES | 2024年 / 29卷 / 18期
关键词
metabolomic analysis; NMR; geographical origin; method validation; fingerprint; inter-laboratory comparison; food control; traceability; NMR; FRUIT; SPECTROSCOPY; METABOLOMICS;
D O I
10.3390/molecules29184441
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Non-targeted NMR is widely accepted as a powerful and robust analytical tool for food control. Nevertheless, standardized procedures based on validated methods are still needed when a non-targeted approach is adopted. Interlaboratory comparisons carried out in recent years have demonstrated the statistical equivalence of spectra generated by different instruments when the sample was prepared by the same operator. The present study focused on assessing the reproducibility of NMR spectra of the same matrix when different operators performed individually both the sample preparation and the measurements using their spectrometer. For this purpose, two independent laboratories prepared 63 tomato samples according to a previously optimized procedure and recorded the corresponding 1D 1H NMR spectra. A classification model was built using the spectroscopic fingerprint data delivered by the two laboratories to assess the geographical origin of the tomato samples. The performance of the optimized statistical model was satisfactory, with a 97.62% correct sample classification rate. The results of this work support the suitability of NMR techniques in food control routines even when samples are prepared by different operators by using their equipment in independent laboratories.
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页数:13
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