Affiliation:
1. Department of Chemical, Biological, Pharmaceutical and Environmental Sciences University of Messina Messina Italy
2. Chromaleont s.r.l., c/o Department of Chemical, Biological, Pharmaceutical and Environmental Sciences University of Messina Messina Italy
3. Department of Sciences and Technologies for Human and Environment University Campus Bio‐Medico of Rome Rome Italy
Abstract
AbstractBackgroundFollowing our previous research on the differentiation of Italian extra virgin olive oils (EVOOs) by rapid evaporative ionization mass spectrometry coupled to a tandem high resolution mass analyser, the present study deals with the evaluation of another direct mass spectrometry (direct‐MS) approach for the rapid and automatic discrimination of EVOOs. In particular, direct analysis in real time (DART‐MS) was explored as an ambient MS (AMS) source for the building of a top‐quality Italian EVOOs database and fast identification of unknown samples. A single quadrupole detector (QDa) was coupled with DART, taking advantage of a cost‐saving, user‐friendly and less sophisticated instrumental setup. Particularly, quickstrip cards, located on a moving rail holder, were employed, allowing for the direct analysis of 12 EVOO spots in a total analysis time of 6 min. The aim was to develop a reliable statistical model by applying principal component and linear discriminant analyses to clusterize and classify EVOOs according to geographical origin and cultivar, as main factors determining their nutritional and sensory profiles.ResultsSatisfactory results were achieved in terms of identification reliability of unknown EVOOs, as well as false positive risk, thus confirming that the use of AMS combined with chemometrics is a powerful tool against fraudulent activities, without the need for mass accuracy data, which would increase the analysis cost.ConclusionA DART ionization source with a compact and reliable QDa MS analyser allowed for rapid fingerprinting analysis. Furthermore, MS spectra provided quali‐quantitative information successfully related to EVOO differentiation. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Subject
Nutrition and Dietetics,Agronomy and Crop Science,Food Science,Biotechnology
Reference46 articles.
1. Global Organic Extra Virgin Olive Oils Market Growth 2023–2029. p.1082023.https://www.absolutereports.com/global‐organic‐extra‐virgin‐olive‐oils‐market‐22528926.
2. Agriculture Fishing and Aquaculture Communication and Promotion Plan.2011.https://www.politicheagricole.it/flex/cm/pages/ServeBLOB.php/L/IT/IDPagina/956.
3. World Food Day.2022.https://www.fao.org/world-food-day/en.
4. Are the Innovative Electronic Labels for Extra Virgin Olive Oil Sustainable, Traceable, and Accepted by Consumers?
5. A Full Technological Traceability System for Extra Virgin Olive Oil
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