This research aims at the development of a novel 2D-LC method coupled to high-resolution mass spectrometry (HRMS) for the identification of anionic and zwitterionic poly- and perfluorinated compounds (PFASs) in fire-fighting aqueous-film forming foams (AFFFs), laying the groundwork for the analysis of these compounds in environmental matrices. In detail, the 2D-LC-HRMS method was developed by investigating the combination of mixed-mode weak anion exchange stationary phases with the traditional octadecyl reversed-phase, to obtain a separation in the two-dimensional space according to the anionic classes of PFAS and their chain length. The orthogonality studies and the optimization of the two-dimensional configuration were performed on a training set of twenty-four anionic PFASs, representing the main classes of compounds occurring in AFFFs and covering a wide range of physicochemical properties. The 2D-LC method development was carried out investigating full gradient setups in combination with active solvent and stationary phase assisted modulations. Furthermore, the 2D-LC-HRMS data from method development and sample analysis were processed using an on-purpose algorithm based on the Self-Adjusting Feature Detection, here implemented for the non-targeted feature detection in the two-dimensional space. Finally, the developed method was applied to the non-targeted analysis of two AFFF samples for the identification of homologous series of PFASs

Development of a RPWAX×RPLC-HRMS platform for the nontargeted identification of pfass in aqueous film-forming foams / Lapo Renai, Andrea F. G. Gargano, Saer Samanipour, Peter J. Schoenmakers, Massimo Del Bubba. - ELETTRONICO. - (2022), pp. 0-0. (Intervento presentato al convegno XXIX Analytical Chemistry Division congress of the Italian Chemistry Society).

Development of a RPWAX×RPLC-HRMS platform for the nontargeted identification of pfass in aqueous film-forming foams

Lapo Renai
;
Massimo Del Bubba
2022

Abstract

This research aims at the development of a novel 2D-LC method coupled to high-resolution mass spectrometry (HRMS) for the identification of anionic and zwitterionic poly- and perfluorinated compounds (PFASs) in fire-fighting aqueous-film forming foams (AFFFs), laying the groundwork for the analysis of these compounds in environmental matrices. In detail, the 2D-LC-HRMS method was developed by investigating the combination of mixed-mode weak anion exchange stationary phases with the traditional octadecyl reversed-phase, to obtain a separation in the two-dimensional space according to the anionic classes of PFAS and their chain length. The orthogonality studies and the optimization of the two-dimensional configuration were performed on a training set of twenty-four anionic PFASs, representing the main classes of compounds occurring in AFFFs and covering a wide range of physicochemical properties. The 2D-LC method development was carried out investigating full gradient setups in combination with active solvent and stationary phase assisted modulations. Furthermore, the 2D-LC-HRMS data from method development and sample analysis were processed using an on-purpose algorithm based on the Self-Adjusting Feature Detection, here implemented for the non-targeted feature detection in the two-dimensional space. Finally, the developed method was applied to the non-targeted analysis of two AFFF samples for the identification of homologous series of PFASs
2022
Book of Abstract
XXIX Analytical Chemistry Division congress of the Italian Chemistry Society
Lapo Renai, Andrea F. G. Gargano, Saer Samanipour, Peter J. Schoenmakers, Massimo Del Bubba
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1286347
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