Journal
ANALYTICA CHIMICA ACTA
Volume 1232, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.aca.2022.340485
Keywords
Orthogonality; Peak capacity; Modulation; Data processing; Feature detection; Mass defect
Categories
Funding
- UvA Data Science Center
- [2018-2022?]
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An online comprehensive LC x LC method hyphenated with HRMS was developed for the non-targeted identification of PFASs in AFFFs, achieving efficient separation and identification.
In this research, we developed an online comprehensive two-dimensional liquid chromatographic (LC x LC) method hyphenated with high-resolution mass spectrometry (HRMS) for the non-targeted identification of poly -and perfluorinated compounds (PFASs) in fire-fighting aqueous-film forming foams (AFFFs). The method exploited the combination of mixed-mode weak anion exchange-reversed phase with a octadecyl stationary phase, separating PFASs according to ionic classes and chain length. To develop and optimize the LC x LC method we used a reference training set of twenty-four anionic PFASs, representing the main classes of compounds occurring in AFFFs and covering a wide range of physicochemical properties. In particular, we investigated different modulation approaches to reduce injection band broadening and breakthrough in the second dimension separation. Active solvent and stationary phase assisted modulations were compared, with the best results obtained with the last approach. In the optimal conditions, the predicted peak capacity corrected for undersampling was higher than three-hundred in a separation space of about 60 min. Subsequently, the developed method was applied to the non-targeted analysis of two AFFF samples for the identification of homologous series of PFASs, in which it was possible to identify up to thirty-nine potential
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