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Monitoring the adsorption of per- and polyfluoroalkyl substances on carbon black by LDI-MS capable of simultaneous analysis of elemental and organic carbon

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ENVIRONMENTAL SCIENCE-PROCESSES & IMPACTS
卷 25, 期 8, 页码 1311-1321

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ROYAL SOC CHEMISTRY
DOI: 10.1039/d3em00129f

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This study reports a matrix-free laser desorption/ionization mass spectrometry method for simultaneous analysis of elemental carbon (EC) and organic carbon (OC) species. By using this method, the adsorption process of per- and polyfluoroalkyl substances (PFASs) on carbon black (CB) was successfully monitored, and hydrophobic interaction was found to be the dominant adsorption mechanism. Furthermore, environmental substances such as humic acid and surfactants significantly affected the adsorption of PFASs on CB.
Elemental carbon (EC) and organic carbon (OC) exist ubiquitously and interact mutually in the environment. Simultaneous analysis of EC and OC will greatly advance our understanding of the behavior and fate of EC and OC, but is however still a great challenge due to the lack of suitable analytical tools. Here, we report a matrix-free laser desorption/ionization mass spectrometry (LDI-MS) method capable of simultaneous analysis of EC and OC by monitoring two independent groups of specific MS fingerprint peaks. We found that EC itself can generate carbon cluster peaks in the low mass range under laser excitation, and meanwhile it can also serve as a matrix to assist the ionization of OC in LDI-MS. By using per- and polyfluoroalkyl substances (PFASs) as a typical set of OC and carbon black (CB) as a model EC, we successfully monitored the adsorption process of PFASs on CB enabled by LDI-MS. We show that hydrophobic interaction dominates the sorption of PFASs to CB, which was affected by the functional groups and carbon chain length of PFASs. Furthermore, environmental substances in water such as humic acid (HA) and surfactants can significantly affect the adsorption of PFASs on CB probably by changing the adsorption sites of CB. Overall, we demonstrate that LDI-MS offers a versatile and high-throughput tool for simultaneous analysis of EC and OC species in real environmental samples, which makes it promising for investigating the environmental behaviors and ecological risks of pollutants.

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