Fast and Accurate Quantitation of Perfuorinated Sources from Textiles using Gas Chromatography-Triple Quadrupole Mass Spectrometry

Significance of the Topic

Perfluorinated compounds used in textile treatments can degrade into highly stable and bioaccumulative PFOS and PFOA precursors.
Accurate quantitation of these substances is essential to assess environmental release, ensure regulatory compliance and protect public health.

Study Objectives and Overview

• Develop a rapid and reliable gas chromatography–triple quadrupole mass spectrometry (GC–TQMS) method for quantifying perfluorinated sulfon-amides (FOSEs, FOSAs) and acrylates (FTAcrs) in textiles.
• Incorporate matrix-matched calibration and analyte protection to mitigate matrix interferences and column degradation.
• Validate the method in terms of linearity, sensitivity, repeatability, detection limits and accuracy.

Methodology and Instrumentation

Target analytes were prepared as neat standards with naphthalene-D8 as an internal standard. Matrix-matched calibration curves were constructed at low, mid and high concentration levels, using D-sorbitol as an analyte protectant to counteract matrix enhancements.

• Instrument: Shimadzu GCMS-TQ8050 with AOC-20i/s autosampler.
• Column: SH-Rtx-200 (30 m × 0.32 mm × 0.5 µm).
• GC Conditions: Injector at 250 °C (splitless, 150 kPa), helium carrier gas at 48.7 cm/s, oven ramp from 80 °C to 260 °C at 30 °C/min (1 min hold).
• MS Conditions: Electron ionization, ion source at 200 °C, interface at 250 °C; multiple reaction monitoring (MRM) with defined quantifier and qualifier transitions.
• Identification Criteria: ±0.10 min retention time tolerance, one quantifier MRM transition, at least one qualifier transition, and relative intensity tolerances based on reference MRM intensities.

Results and Discussion

Optimized MRM transitions provided four identification points for each analyte. Calibration curves exhibited excellent linearity (R² ≥ 0.997) over 2–200 ng/mL or 5–200 ng/mL ranges. Matrix effects exceeded 100%, supporting the use of matrix-matched standards.
Repeatability (n=6) across concentration levels showed %RSD values below 15%. Instrument detection limits ranged from 0.2 ng/mL to ~3.5 ng/mL; limits of quantitation corresponded to the lowest calibration points. Accuracy, assessed via post-spiked QC samples, fell within ±30% of nominal values.
Application to real textile samples detected N-EtFOSE at 2.47 ng/mL in 100% polyester sportswear and N-MeFOSE in cotton-spandex blends, demonstrating method applicability to commercial fabrics.

Benefits and Practical Applications

• High sensitivity and selectivity for perfluorinated precursors in complex textile matrices.
• Matrix-matched calibration and analyte protectants reduce interferences and protect column life.
• Efficient workflow supports high-throughput quality control and environmental monitoring.
• Method aids regulatory compliance and screening of PFAS sources in consumer products.

Future Trends and Applications

• Extension of the method to a wider spectrum of PFAS and transformation products in textiles and environmental samples.
• Integration with automated sample preparation and high-resolution mass spectrometry for enhanced throughput and identification confidence.
• Development of rapid screening workflows for recycled textile streams to control PFAS contamination.

Conclusion

A robust GC–TQMS method has been established for fast, sensitive and accurate quantitation of fluorinated sulfon-amides and acrylates in textiles. Matrix-matched calibration and analyte protection strategies effectively address matrix effects, enabling reliable analysis in commercial textile samples.

Reference

1. Renner R. Perfluorinated Sources Outside and Inside. Environmental Science & Technology. 2004;38(5):80A.
2. Lahey CM, Ting GWE, Yeong HXC, et al. Fast and Accurate Analysis of Fluorotelomer Alcohols and Acrylates using Triple Quadrupole GC-MS/MS. ASMS Poster ThP156; 2016.
3. OECD. Lists of PFOS, PFAS, PFOA, PFCA, Related Compounds and Chemicals that May Degrade to PFCA. ENV/JM/MONO(2006)15; 2007.