Abstract

Authentication of food is a burning topic and the development of rapid and reliable analytical strategies to authenticate the origin of food has become a priority at global level to combat food frauds. Food authentication is typically attained by applying the classical targeted approach where a certain analyte defined by characteristic parameters is further confirmed by reference standards. The non targeted approach offering the advantage of rapidity of the analysis without requiring any knowledge about the composition of the food sample to be analysed, has emerged in the last years gaining increasing attention and has been taken up by European research projects such as Food Integrity as objective of the WP18. Such approach allows to capture the highest number of information also referred to as features that are strictly correlated to the whole food matrix analysed. The comparison of food fingerprints to an authentic sample set will enable through the use of multivariate statistical models, detection of food sample adulteration or misdescription. However the bottleneck of such approach relies on the extensive data treatment required before submitting the pre-processed matrix to statistical analysis.In this work we present the optimization of a workflow based on the coupling between a Direct Analysis in Real Time (DART)ambient pressure source and a single cell Orbitrap(TM) based mass spectrometer applied to the non targeted analysis of foods to track the geographical origin and/or food integrity/authenticity.A typical workflow describing the main steps of a DART-HRMS analysis such as optimization of instrumental settings, sample preparation and post-acquisition data treatment to make the final data suitable for further statistical evaluation, will be presented along with the most critical steps. The pre-processing should include noise filtering, background subtraction, mass shift correction, mass alignment, spectra normalization, etc. Finally, an averaged spectrum representative of a certain food is typically generated from the analytical platform in use, that can be further converted into a format compatible for the subsequent statistical analysis. The duly optimization of all pre-processing steps on the acquired MS data is fundamental to produce reliable data prone to be submitted to multivariate statistic to generate trustful results. A case study reporting a typical DART-HRMS based workflow herein optimized will be shown applied to different food samples for food authenticity studies.

Autore Pugliese

• Logrieco Antonio Francesco , Monaci Linda

Tutti gli autori

• L. Monaci; V. Lippolis; G.M. Fiorino; A. Di Gioia; A.F. Logrieco

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Anno di pubblicazione

2017

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