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  11. Qualitative And Quantitative Analysis Of Tire Wear Particles (twps) In Road Dust Using A Novel Mode Of Operation Of Tga-gc/ms

Qualitative and Quantitative Analysis of Tire Wear Particles (TWPs) in Road Dust Using a Novel Mode of Operation of TGA-GC/MS

Kieran S Evans1,2, Daniel Baqer3, Marc-Krystelle Mafina2

  • 1EaStCHEM School of Chemistry, University of Edinburgh, Joseph Black Building, David Brewster Rd, Edinburgh, EH9 3FJ, United Kingdom.

Environmental Science & Technology Letters
|January 20, 2025

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View abstract on PubMed

Summary
This summary is machine-generated.

A new thermogravimetric analysis-gas chromatography-mass spectrometry (TGA-GC/MS) method offers robust, quantitative analysis of tire wear particles (TWPs). This technique overcomes limitations of previous methods, enabling economically viable large-scale environmental monitoring.

Area of Science:

  • Environmental Science
  • Analytical Chemistry
  • Materials Science

Background:

  • Tire wear particles (TWPs) are an environmental concern due to their chemical complexity and toxic additives like 6-PPD.
  • Existing analytical methods (Py-GC/MS, TED-GC/MS) have limitations in sample throughput, mass, and quantification.
  • The environmental impact of TWPs, including toxicity to aquatic life, necessitates improved detection methods.

Purpose of the Study:

  • To develop a novel, robust, and quantitative analytical approach for tire wear particles (TWPs).
  • To overcome the limitations of existing methods for TWP detection and quantification.
  • To enable economically viable, large-scale commercial analysis of tire rubber and particles.

Main Methods:

  • Coupling of thermogravimetric analysis (TGA) with gas chromatography-mass spectrometry (GC/MS).

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  • Pioneering a novel PyroTGA-GC/MS mode using fast heating for quantitative TWP analysis in road dust.
  • Determining limits of detection and quantification for styrene-butadiene rubber (SBR) and polyisoprene (PI).

    • Main Results:

    • Achieved lower limits of detection and quantification for SBR and PI compared to Py-GC/MS and TED-GC/MS.
    • Demonstrated the detection of tire additives such as 6-PPD.
    • Revealed a correlation between the PI to SBR ratio and the prevalence of heavy goods vehicles.

    Conclusions:

    • The developed TGA-GC/MS and PyroTGA-GC/MS techniques provide a significant advancement in TWP analysis.
    • This method offers improved sample size handling and throughput, addressing key challenges in the field.
    • The technique presents an economically viable solution for widespread environmental monitoring of tire particles.