Revealing adulterated olive oils by triacylglycerol screening methods: Beyond the official method

Torres-Cobos, Berta; Quintanilla‐Casas, Beatriz; Vicario, Giulia; Guardiola, Francesc; Tres, Alba; Vichi, Stefania

doi:10.1016/j.foodchem.2022.135256

Cited by 5 publications

(1 citation statement)

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“…From an analytical point of view, many efforts were addressed in the development of traceability and characterization protocols, based on the analysis of principal or secondary chemical components responsible for EVOO sensory attributes, [10][11][12][13][14] or for quality and authenticity assurance purposes, 15 including DNA-based approaches 16,17 and several analytical methods able to generate unique metabolic fingerprints. 18,19 In recent decades, spectroscopic techniques such as nuclear magnetic resonance, 20,21 infrared spectroscopy 22,23 or direct infusion mass spectrometry (MS) 24,25 have been widely used for these purposes, enabling the rapid screening and identification of both target and nontarget compounds. Among the spectroscopic methods, direct-MS analysis was simplified from the emergence of ambient desorption/ionization methods such as direct analysis in real time (DART).…”

Section: Introductionmentioning

confidence: 99%

Direct analysis in real time of high‐quality extra virgin olive oils for the rapid and automatic identification of origin trademark

et al. 2023

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BackgroundFollowing 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.

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