2800T for Volatile and Semi-Volatile PFAS Analysis

While regulatory monitoring programs primarily focus on ionic PFAS such as PFOA and PFOS using LC-MS/MS, increasing attention is being paid to volatile and semi-volatile PFAS compounds.

These substances include FTOHs (Fluorotelomer Alcohols), FOSAs (Perfluorooctane Sulfonamides), FOSEs (Perfluorooctane Sulfonamidoethanols), FTAcrs (Fluorotelomer Acrylates) and FTMACrs (Fluorotelomer Methacrylates).

Widely used in industrial applications, food packaging, textiles and surface treatments, these compounds can be released into the environment and may undergo transformation into persistent PFAS such as PFOA and PFOS.

As awareness of PFAS contamination continues to grow, environmental scientists increasingly require analytical methods capable of monitoring volatile PFAS in a variety of matrices, including water, soil, sludge and consumer products.

Unlike ionic PFAS, volatile and semi-volatile PFAS possess sufficient volatility and thermal stability for gas chromatographic analysis.

In this context, Headspace Solid Phase Microextraction (HS-SPME) has emerged as a technique of choice for the analysis of volatile and semi-volatile PFAS. By combining extraction and concentration in a single solvent-free step, HS-SPME significantly simplifies sample preparation while providing a fast analytical workflow, excellent sensitivity at trace concentration levels and reduced matrix interferences. These advantages make HS-SPME particularly well suited for the determination of volatile PFAS in environmental, industrial and consumer product samples.

Against this background, 2800T – HTA all-in-one GC autosampler – can be successfully used to automate HS-SPME-GC/MS/MS workflows for volatile PFAS analysis. Operating in SPME mode and equipped with a suitable DVB/CAR/PDMS fiber, the 2800T enables efficient extraction of FTOHs, FOSAs and other volatile PFAS. In particular, the HTA autosampler ensures a simple yet robust analytical workflow with high reproducibility, precision and accuracy, reducing variability and errors associated with manual handling, especially when dealing with complex sample matrices.

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