Addressing PFAS Challenges with Modern High Resolution IMS-MS Methods
Addressing PFAS Challenges with Modern High Resolution IMS-MS Methods
Frederick G. Strathmann and Oliver J. Schmitz
The detection and characterization of per- and polyfluoroalkyl substances (PFAS) remain a significant analytical challenge because of their structural complexity and isomeric diversity. Traditional one-dimensional chromatographic techniques often fail to achieve sufficient separation, necessitating the adoption of multidimensional approaches. This article explores the integration of high-resolution ion mobility spectrometry–mass spectrometry (HRIMS-MS) with liquid chromatography (LC) and quadrupole time-of-flight mass spectrometry (QTOF-MS) as a comprehensive workflow for PFAS analysis. Using a well-characterized 3M PFOS Lot 217 sample, three analytical workflows are demonstrated: high-throughput screening, suspect screening, and non-targeted analysis. The combination of LC and HRIMS-MS aids rapid screening, enhances isomeric resolution, and enables deeper characterization of PFAS mixtures. Furthermore, software advancements now allow HRIMS-MS-integrated data processing and analysis, paving the way for broader adoption of this approach in environmental applications and beyond. The combination of LC-HRIM as a powerful tool for improving PFAS detection and identification will also be highlighted.
The detection and characterization of per- and polyfluoroalkyl substances (PFAS) remain a significant analytical challenge because of their structural complexity and isomeric diversity. Traditional one-dimensional chromatographic techniques often fail to achieve sufficient separation, necessitating the adoption of multidimensional approaches. This article explores the integration of high-resolution ion mobility spectrometry–mass spectrometry (HRIMS-MS) with liquid chromatography (LC) and quadrupole time-of-flight mass spectrometry (QTOF-MS) as a comprehensive workflow for PFAS analysis. Using a well-characterized 3M PFOS Lot 217 sample, three analytical workflows are demonstrated: high-throughput screening, suspect screening, and non-targeted analysis. The combination of LC and HRIMS-MS aids rapid screening, enhances isomeric resolution, and enables deeper characterization of PFAS mixtures. Furthermore, software advancements now allow HRIMS-MS-integrated data processing and analysis, paving the way for broader adoption of this approach in environmental applications and beyond. The combination of LC-HRIM as a powerful tool for improving PFAS detection and identification will also be highlighted.
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