The verification of the geographical origin of extra virgin (EVOO) and virgin olive oil (VOO) is crucial to protect consumers from misleading information. Despite the large number of studies performed, specific markers are still not available. The present study aims to evaluate sesquiterpene hydrocarbons (SHs) as markers of EVOO geographical origin and to compare the discrimination efficiency of targeted profiling and fingerprinting approaches. A prospective study was carried out on 82 EVOOs from seven countries, analyzed by Headspace Solid Phase Microextraction-Gas Chromatography-Mass Spectrometry (HS-SPME-GC-MS). Classification models were developed by Partial Least Square-Discriminant Analysis (PLS-DA) and internally validated (leave 10%-out crossvalidation). The percentage of correct classification was higher for the fingerprinting (100%) than for the profiling approach (45.5–100%). These results confirm the suitability of SHs as EVOO geographical markers and establish the fingerprinting as the most efficient approach for the treatment of SH analytical data with this purpose up to date.

Quintanilla-Casas, B., Bertin, S., Leik, K., Bustamante, J., Guardiola, F., Valli, E., et al. (2020). Profiling versus fingerprinting analysis of sesquiterpene hydrocarbons for the geographical authentication of extra virgin olive oils. FOOD CHEMISTRY, 307, 1-8 [10.1016/j.foodchem.2019.125556].

Profiling versus fingerprinting analysis of sesquiterpene hydrocarbons for the geographical authentication of extra virgin olive oils

Enrico Valli
Membro del Collaboration Group
;
Alessandra Bendini
Supervision
;
Tullia Gallina Toschi
Supervision
;
2020

Abstract

The verification of the geographical origin of extra virgin (EVOO) and virgin olive oil (VOO) is crucial to protect consumers from misleading information. Despite the large number of studies performed, specific markers are still not available. The present study aims to evaluate sesquiterpene hydrocarbons (SHs) as markers of EVOO geographical origin and to compare the discrimination efficiency of targeted profiling and fingerprinting approaches. A prospective study was carried out on 82 EVOOs from seven countries, analyzed by Headspace Solid Phase Microextraction-Gas Chromatography-Mass Spectrometry (HS-SPME-GC-MS). Classification models were developed by Partial Least Square-Discriminant Analysis (PLS-DA) and internally validated (leave 10%-out crossvalidation). The percentage of correct classification was higher for the fingerprinting (100%) than for the profiling approach (45.5–100%). These results confirm the suitability of SHs as EVOO geographical markers and establish the fingerprinting as the most efficient approach for the treatment of SH analytical data with this purpose up to date.
2020
Quintanilla-Casas, B., Bertin, S., Leik, K., Bustamante, J., Guardiola, F., Valli, E., et al. (2020). Profiling versus fingerprinting analysis of sesquiterpene hydrocarbons for the geographical authentication of extra virgin olive oils. FOOD CHEMISTRY, 307, 1-8 [10.1016/j.foodchem.2019.125556].
Quintanilla-Casas, Beatriz; Bertin, Sofia; Leik, Kerstin; Bustamante, Julen; Guardiola, Francesc; Valli, Enrico; Bendini, Alessandra; GALLINA TOSCHI, ...espandi
File in questo prodotto:
File Dimensione Formato  
Profiling versus fingerprinting analysis preprint con DOI.pdf

accesso aperto

Tipo: Preprint
Licenza: Licenza per accesso libero gratuito
Dimensione 3.01 MB
Formato Adobe PDF
3.01 MB Adobe PDF Visualizza/Apri
Profiling versus fingerprinting analysis postprint con copertina.pdf

Open Access dal 01/04/2021

Tipo: Postprint
Licenza: Licenza per Accesso Aperto. Creative Commons Attribuzione - Non commerciale - Non opere derivate (CCBYNCND)
Dimensione 1.49 MB
Formato Adobe PDF
1.49 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/729224
Citazioni
  • ???jsp.display-item.citation.pmc??? 9
  • Scopus 43
  • ???jsp.display-item.citation.isi??? 40
social impact