Large-scale evaluation of shotgun triacylglycerol profiling for the fast detection of olive oil adulteration. (May 2021)

• Record Type: Journal Article
• Authors: Quintanilla-Casas, Beatriz; Strocchi, Giulia; Bustamante, Julen; Torres-Cobos, Berta; Guardiola, Francesc; Moreda, Wenceslao; Martínez-Rivas, José Manuel; Valli, Enrico; Bendini, Alessandra; Toschi, Tullia Gallina; Tres, Alba; Vichi, Stefania
• Is Part Of: Food control. Volume 123(2021)
• Publication Date: 2021-05
• Subjects: Olive oil -- Adulteration -- High resolution mass spectrometry -- Shotgun lipidomics -- Triacylglycerols -- Screening; Food -- Quality -- Periodicals; Food -- Analysis -- Periodicals; Food handling -- Periodicals; Food industry and trade -- Quality control -- Periodicals; Aliments -- Industrie et commerce -- Qualité -- Contrôle -- Périodiques; Aliments -- Qualité -- Périodiques; Aliments -- Analyse -- Périodiques; Hygiène alimentaire -- Périodiques; Food -- Analysis; Food handling; Food -- Quality; Periodicals; Electronic journals; 664.07
• DOI: 10.1016/j.foodcont.2020.107851
• Languages: English
• ISSNs: 0956-7135

Abstract

Abstract: Fast and effective analytical screening tools providing new suitable authenticity markers and applicable to a large number of samples are required to efficiently control the global olive oil (OO) production, and allow the rapid detection of low levels of adulterants even with fatty acid composition similar to OO. The present study aims to develop authentication models for the comprehensive detection of illegal blends of OO with adulterants including different types of high linoleic (HL) and high oleic (HO) vegetable oils at low concentrations (2–10%) based on shotgun triacylglycerol (TAG) profile obtained by Flow Injection Analysis-Heated Electrospray Ionisation-High Resolution Mass Spectrometry (FIA-HESI-HRMS) at a large-scale experimental design. The sample set covers a large natural variability of both OO and adulterants, resulting in more than one thousand samples analysed. A combined PLS-DA binary modelling based on shotgun TAG profiling proved to be a fit for purpose screening tool in terms of efficiency and applicability. The external validation resulted in the correct classification of the 86.8% of the adulterated samples (diagnostic sensitivity = 0.87), and the 81.1% of the genuine samples (diagnostic specificity = 0.81), with an 85.1% overall correct classification (efficiency = 0.85). Highlights: Olive oil blending with cheaper oils is a common adulteration practice. Shotgun triacylglycerol profiling can be the fit for purpose screening tool. Authentication models detected low-amounts of high-oleic and linoleic adulterants. External validation of classification strategy showed an efficiency of 0.85 Minor triacylglycerols have a key diagnostic role to detect foreign oils in olive oil.