We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
A Tiered Quantification and Source Mapping Framework for Tire Wear Particle Analysis in Environmental Matrices
Summary
Researchers developed an improved method for quantifying tire wear particles in environmental samples using pyrolysis gas chromatography-mass spectrometry based on real tire tread composition. The approach achieved 94-113% accuracy, a significant improvement over previous methods, and includes a tiered framework for distinguishing tire-derived signals from other interference. This methodology enables more reliable tracking of tire wear particles, a major but often underestimated source of microplastic pollution.
Tire wear particles (TWPs) are a major source of microplastic emissions, accurate quantification of TWPs remains challenging due to tread composition heterogeneity and inconsistent methods. To improve the quantification accuracy under scarce tire composition data, a novel method was established based on real treads to establish more accurate quantitative curves using pyrolysis gas chromatography-mass spectrometry. For the first time, the rubber content of three types of treads was quantified using a comprehensive group of pyrolysis monomers and derivatives. The approach was validated by tread cryogrinds, which showed the accuracy was improved to 94-113% compared with previous methods. A tiered approach was established to calculate worn tread mass while distinguishing and eliminating interfering signals in matrices. Further, an analytical framework for TWPs in various environmental samples to identify their sources and quantify fluxes was proposed with the availability of auxiliary data. This framework can serve as basis for more efficient management of TWPs contamination.
Sign in to start a discussion.
More Papers Like This
ATiered Quantification and Source Mapping Frameworkfor Tire Wear Particle Analysis in Environmental Matrices
Researchers developed a tiered quantification and source mapping framework for tire wear particles (TWPs) in environmental matrices, using pyrolysis GC-MS with real tread-derived calibration curves to improve quantification accuracy across heterogeneous tread compositions.
Quantification of tire wear particles in road dust based on synthetic/natural rubber ratio using pyrolysis-gas chromatography–mass spectrometry across diverse tire types
Researchers developed an improved method for measuring tire wear particles in road dust that accounts for differences in rubber composition across tire brands and types. They found that the standard ISO method, which assumes a fixed ratio of synthetic to natural rubber, can significantly misestimate tire wear concentrations. The refined approach provides more accurate measurements of this major source of microplastic pollution from road traffic.
A novel method for the quantification of tire and polymer-modified bitumen particles in environmental samples by pyrolysis gas chromatography mass spectroscopy
Researchers developed a novel pyrolysis gas chromatography mass spectrometry method for quantifying tire and polymer-modified bitumen particles in environmental samples, improving the detection of what may be the largest source of microplastic pollution.
Methods for laboratory-generation and physico-chemical characterisation of tyre wear particles
Researchers developed a lab method to generate tire wear particles using a friction machine and then identified a suite of chemical compounds that could serve as reliable markers for detecting these particles in environmental samples. Tire wear is one of the largest single sources of microplastic pollution globally, yet quantifying it in the environment has been hampered by the lack of agreed marker compounds. This work lays groundwork for standardized monitoring of tire particle pollution in soils and waterways.
Adapting Methods for Isolation and Enumeration of Microplastics to Quantify Tire Road Wear Particles with Confirmation by Pyrolysis GC–MS
Researchers adapted microplastic analysis methods for isolating and counting tire road wear particles from environmental samples, a challenging task due to the varied composition and density of these particles. They found that alkaline digestions are compatible with tire rubber but hydrogen peroxide can damage the particles, and developed visual criteria to distinguish tire particles from bitumen. The adapted methods were validated with road dust samples and confirmed by electron microscopy and pyrolysis mass spectrometry.