Multivariate Statistical Models for the Authentication of Traditional Balsamic Vinegar of Modena and Balsamic Vinegar of Modena on <sup>1</sup>H-NMR Data: Comparison of Targeted and Untargeted Approaches

This work aimed to compare targeted and untargeted approaches based on NMR data for the construction of classification models for Traditional Balsamic Vinegar of Modena (TBVM) and Balsamic Vinegar of Modena (BVM). Their complexity in terms of composition makes the authentication of these products di...

Full description

Bibliographic Details
Main Authors: Eleonora Truzzi, Lucia Marchetti, Danny Vincenzo Piazza, Davide Bertelli
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Foods
Subjects:
Online Access:https://www.mdpi.com/2304-8158/12/7/1467
_version_ 1797607986295734272
author Eleonora Truzzi
Lucia Marchetti
Danny Vincenzo Piazza
Davide Bertelli
author_facet Eleonora Truzzi
Lucia Marchetti
Danny Vincenzo Piazza
Davide Bertelli
author_sort Eleonora Truzzi
collection DOAJ
description This work aimed to compare targeted and untargeted approaches based on NMR data for the construction of classification models for Traditional Balsamic Vinegar of Modena (TBVM) and Balsamic Vinegar of Modena (BVM). Their complexity in terms of composition makes the authentication of these products difficult, which requires the employment of several time-consuming analytical methods. Here, <sup>1</sup>H-NMR spectroscopy was selected as the analytical method for the analysis of TVBM and BVM due to its rapidity and efficacy in food authentication. <sup>1</sup>H-NMR spectra of old (>12 years) and extra-old (>25 years) TVBM and BVM (>60 days) and aged (>3 years) BVM were acquired, and targeted and untargeted approaches were used for building unsupervised and supervised multivariate statistical modes. Targeted and untargeted approaches were based on quantitative results of peculiar compounds present in vinegar obtained through qNMR, and all spectral variables, respectively. Several classification models were employed, and linear discriminant analysis (LDA) demonstrated sensitivity and specificity percentages higher than 85% for both approaches. The most important discriminating variables were glucose, fructose, and 5-hydroxymethylfurfural. The untargeted approach proved to be the most promising strategy for the construction of LDA models of authentication for TVBM and BVM due to its easier applicability, rapidity, and slightly higher predictive performance. The proposed method for authenticating TBVM and BVM could be employed by Italian producers for safeguarding their valuable products.
first_indexed 2024-03-11T05:37:19Z
format Article
id doaj.art-e909d84ffc954a91ae20b8bfb36d1431
institution Directory Open Access Journal
issn 2304-8158
language English
last_indexed 2024-03-11T05:37:19Z
publishDate 2023-03-01
publisher MDPI AG
record_format Article
series Foods
spelling doaj.art-e909d84ffc954a91ae20b8bfb36d14312023-11-17T16:41:41ZengMDPI AGFoods2304-81582023-03-01127146710.3390/foods12071467Multivariate Statistical Models for the Authentication of Traditional Balsamic Vinegar of Modena and Balsamic Vinegar of Modena on <sup>1</sup>H-NMR Data: Comparison of Targeted and Untargeted ApproachesEleonora Truzzi0Lucia Marchetti1Danny Vincenzo Piazza2Davide Bertelli3Department of Life Sciences, University of Modena and Reggio Emilia, Via Campi 103, 41125 Modena, ItalyDepartment of Life Sciences, University of Modena and Reggio Emilia, Via Campi 103, 41125 Modena, ItalyDepartment of Life Sciences, University of Modena and Reggio Emilia, Via Campi 103, 41125 Modena, ItalyDepartment of Life Sciences, University of Modena and Reggio Emilia, Via Campi 103, 41125 Modena, ItalyThis work aimed to compare targeted and untargeted approaches based on NMR data for the construction of classification models for Traditional Balsamic Vinegar of Modena (TBVM) and Balsamic Vinegar of Modena (BVM). Their complexity in terms of composition makes the authentication of these products difficult, which requires the employment of several time-consuming analytical methods. Here, <sup>1</sup>H-NMR spectroscopy was selected as the analytical method for the analysis of TVBM and BVM due to its rapidity and efficacy in food authentication. <sup>1</sup>H-NMR spectra of old (>12 years) and extra-old (>25 years) TVBM and BVM (>60 days) and aged (>3 years) BVM were acquired, and targeted and untargeted approaches were used for building unsupervised and supervised multivariate statistical modes. Targeted and untargeted approaches were based on quantitative results of peculiar compounds present in vinegar obtained through qNMR, and all spectral variables, respectively. Several classification models were employed, and linear discriminant analysis (LDA) demonstrated sensitivity and specificity percentages higher than 85% for both approaches. The most important discriminating variables were glucose, fructose, and 5-hydroxymethylfurfural. The untargeted approach proved to be the most promising strategy for the construction of LDA models of authentication for TVBM and BVM due to its easier applicability, rapidity, and slightly higher predictive performance. The proposed method for authenticating TBVM and BVM could be employed by Italian producers for safeguarding their valuable products.https://www.mdpi.com/2304-8158/12/7/1467qNMRlinear discriminant analysis (LDA)chemometricsTraditional Balsamic Vinegar of ModenaBalsamic Vinegar of Modenaprincipal component analysis (PCA)
spellingShingle Eleonora Truzzi
Lucia Marchetti
Danny Vincenzo Piazza
Davide Bertelli
Multivariate Statistical Models for the Authentication of Traditional Balsamic Vinegar of Modena and Balsamic Vinegar of Modena on <sup>1</sup>H-NMR Data: Comparison of Targeted and Untargeted Approaches
Foods
qNMR
linear discriminant analysis (LDA)
chemometrics
Traditional Balsamic Vinegar of Modena
Balsamic Vinegar of Modena
principal component analysis (PCA)
title Multivariate Statistical Models for the Authentication of Traditional Balsamic Vinegar of Modena and Balsamic Vinegar of Modena on <sup>1</sup>H-NMR Data: Comparison of Targeted and Untargeted Approaches
title_full Multivariate Statistical Models for the Authentication of Traditional Balsamic Vinegar of Modena and Balsamic Vinegar of Modena on <sup>1</sup>H-NMR Data: Comparison of Targeted and Untargeted Approaches
title_fullStr Multivariate Statistical Models for the Authentication of Traditional Balsamic Vinegar of Modena and Balsamic Vinegar of Modena on <sup>1</sup>H-NMR Data: Comparison of Targeted and Untargeted Approaches
title_full_unstemmed Multivariate Statistical Models for the Authentication of Traditional Balsamic Vinegar of Modena and Balsamic Vinegar of Modena on <sup>1</sup>H-NMR Data: Comparison of Targeted and Untargeted Approaches
title_short Multivariate Statistical Models for the Authentication of Traditional Balsamic Vinegar of Modena and Balsamic Vinegar of Modena on <sup>1</sup>H-NMR Data: Comparison of Targeted and Untargeted Approaches
title_sort multivariate statistical models for the authentication of traditional balsamic vinegar of modena and balsamic vinegar of modena on sup 1 sup h nmr data comparison of targeted and untargeted approaches
topic qNMR
linear discriminant analysis (LDA)
chemometrics
Traditional Balsamic Vinegar of Modena
Balsamic Vinegar of Modena
principal component analysis (PCA)
url https://www.mdpi.com/2304-8158/12/7/1467
work_keys_str_mv AT eleonoratruzzi multivariatestatisticalmodelsfortheauthenticationoftraditionalbalsamicvinegarofmodenaandbalsamicvinegarofmodenaonsup1suphnmrdatacomparisonoftargetedanduntargetedapproaches
AT luciamarchetti multivariatestatisticalmodelsfortheauthenticationoftraditionalbalsamicvinegarofmodenaandbalsamicvinegarofmodenaonsup1suphnmrdatacomparisonoftargetedanduntargetedapproaches
AT dannyvincenzopiazza multivariatestatisticalmodelsfortheauthenticationoftraditionalbalsamicvinegarofmodenaandbalsamicvinegarofmodenaonsup1suphnmrdatacomparisonoftargetedanduntargetedapproaches
AT davidebertelli multivariatestatisticalmodelsfortheauthenticationoftraditionalbalsamicvinegarofmodenaandbalsamicvinegarofmodenaonsup1suphnmrdatacomparisonoftargetedanduntargetedapproaches