Essential oils (EOs) are valuable products commonly employed in the food industry and intensively studied as biopreservatives for the extension of food shelf-life. Unfortunately, EOs might be counterfeit to increase industrial profits. Among the possible adulterants, vegetable oils (VOs) must be considered for their characteristics and low costs. We aimed to apply nuclear magnetic resonance (NMR) spectroscopy for the detection and identification of VOs in mixtures with EOs. This innovative strategy is based on comparing the peak area ratio matrices of characteristic VO 13C NMR fatty acid signals with those of adulterated EOs. The identification of the VOs was achieved by calculating the matrix similarity at different confidence levels. The strategy demonstrated the capacity to efficiently recognize the presence of adulteration and the type of VO adulterant in mixtures. Thus, the method was applied to 20 commercial EOs, and VOs were detected and then identified in four samples.

Novel Strategy for the Recognition of Adulterant Vegetable Oils in Essential Oils Commonly Used in Food Industries by Applying 13C NMR Spectroscopy / Truzzi, Eleonora; Marchetti, Lucia; Benvenuti, Stefania; Ferroni, Annalisa; Rossi, Maria Cecilia; Bertelli, Davide. - In: JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY. - ISSN 1520-5118. - 69:29(2021), pp. 8276-8286. [10.1021/acs.jafc.1c02279]

Novel Strategy for the Recognition of Adulterant Vegetable Oils in Essential Oils Commonly Used in Food Industries by Applying 13C NMR Spectroscopy

Eleonora Truzzi
Methodology
;
Lucia Marchetti
Formal Analysis
;
Stefania Benvenuti
Conceptualization
;
Maria Cecilia Rossi
Methodology
;
Davide Bertelli
Supervision
2021

Abstract

Essential oils (EOs) are valuable products commonly employed in the food industry and intensively studied as biopreservatives for the extension of food shelf-life. Unfortunately, EOs might be counterfeit to increase industrial profits. Among the possible adulterants, vegetable oils (VOs) must be considered for their characteristics and low costs. We aimed to apply nuclear magnetic resonance (NMR) spectroscopy for the detection and identification of VOs in mixtures with EOs. This innovative strategy is based on comparing the peak area ratio matrices of characteristic VO 13C NMR fatty acid signals with those of adulterated EOs. The identification of the VOs was achieved by calculating the matrix similarity at different confidence levels. The strategy demonstrated the capacity to efficiently recognize the presence of adulteration and the type of VO adulterant in mixtures. Thus, the method was applied to 20 commercial EOs, and VOs were detected and then identified in four samples.
2021
15-lug-2021
69
29
8276
8286
Novel Strategy for the Recognition of Adulterant Vegetable Oils in Essential Oils Commonly Used in Food Industries by Applying 13C NMR Spectroscopy / Truzzi, Eleonora; Marchetti, Lucia; Benvenuti, Stefania; Ferroni, Annalisa; Rossi, Maria Cecilia; Bertelli, Davide. - In: JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY. - ISSN 1520-5118. - 69:29(2021), pp. 8276-8286. [10.1021/acs.jafc.1c02279]
Truzzi, Eleonora; Marchetti, Lucia; Benvenuti, Stefania; Ferroni, Annalisa; Rossi, Maria Cecilia; Bertelli, Davide
File in questo prodotto:
File Dimensione Formato  
acs.jafc.1c02279.pdf

Open access

Tipologia: Versione pubblicata dall'editore
Dimensione 6.57 MB
Formato Adobe PDF
6.57 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1249859
Citazioni
  • ???jsp.display-item.citation.pmc??? 10
  • Scopus 25
  • ???jsp.display-item.citation.isi??? 21
social impact