Article
?
AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button.
Tier 2
?
Original research — experimental, observational, or case-control study. Direct primary evidence.
Detection Methods
Environmental Sources
Remediation
Sign in to save
Identification and quantification of tire wear particles by employing different cross-validation techniques: FTIR-ATR Micro-FTIR, Pyr-GC/MS, and SEM
Environmental Pollution2023
70 citations
?
Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Score: 55
?
0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Beatrice Rosso,
Elena Gregoris,
Elena Gregoris,
Fabiana Corami,
Fabiana Corami,
Fabiana Corami,
Fabiana Corami,
Fabiana Corami,
Fabiana Corami,
Fabiana Corami,
Fabiana Corami,
Fabiana Corami,
Fabiana Corami,
Beatrice Rosso,
Beatrice Rosso,
Beatrice Rosso,
Fabiana Corami,
Beatrice Rosso,
Beatrice Rosso,
Beatrice Rosso,
Fabiana Corami,
Fabiana Corami,
Beatrice Rosso,
Beatrice Rosso,
Beatrice Rosso,
Beatrice Rosso,
Fabiana Corami,
Fabiana Corami,
Lucio Litti,
Fabiana Corami,
Lucio Litti,
Fabiana Corami,
Lucio Litti,
Fabiana Corami,
Fabiana Corami,
Barbara Bravo,
Elena Gregoris,
Carlo Barbante,
Barbara Bravo,
Beatrice Rosso,
Beatrice Rosso,
Beatrice Rosso,
Beatrice Rosso,
Beatrice Rosso,
Beatrice Rosso,
Beatrice Rosso,
Beatrice Rosso,
Carlo Barbante,
Barbara Bravo,
Barbara Bravo,
Andrea Gambaro,
Beatrice Rosso,
Beatrice Rosso,
Beatrice Rosso,
Lucio Litti,
Lucio Litti,
Lucio Litti,
Barbara Bravo,
Barbara Bravo,
Beatrice Rosso,
Andrea Gambaro
Lucio Litti,
Elena Gregoris,
Lucio Litti,
Beatrice Rosso,
Barbara Bravo,
Fabiana Corami,
Fabiana Corami,
Andrea Gambaro,
Andrea Gambaro,
Fabiana Corami,
Andrea Gambaro,
Andrea Gambaro,
Fabiana Corami,
Fabiana Corami,
Andrea Gambaro,
Barbara Bravo,
Carlo Barbante,
Federico Zorzi,
Andrea Gambaro
Andrea Gambaro
Andrea Gambaro
Andrea Gambaro
Andrea Gambaro
Fabiana Corami,
Barbara Bravo,
Andrea Gambaro,
Andrea Gambaro,
Andrea Gambaro,
Maurizio Fiorini,
Maurizio Fiorini,
Beatrice Rosso,
Carlo Barbante,
Andrea Gambaro
Andrea Gambaro
Beatrice Rosso,
Beatrice Rosso,
Andrea Gambaro,
Fabiana Corami,
Andrea Gambaro
Barbara Bravo,
Fabiana Corami,
Andrea Gambaro
Barbara Bravo,
Barbara Bravo,
Beatrice Rosso,
Andrea Gambaro,
Andrea Gambaro
Andrea Gambaro
Barbara Bravo,
Beatrice Rosso,
Andrea Gambaro,
Barbara Bravo,
Barbara Bravo,
Barbara Bravo,
Carlo Barbante,
Carlo Barbante,
Fabiana Corami,
Carlo Barbante,
Carlo Barbante,
Carlo Barbante,
Fabiana Corami,
Carlo Barbante,
Carlo Barbante,
Andrea Gambaro,
Andrea Gambaro,
Fabiana Corami,
Andrea Gambaro
Andrea Gambaro
Andrea Gambaro
Carlo Barbante,
Lucio Litti,
Andrea Gambaro
Fabiana Corami,
Carlo Barbante,
Andrea Gambaro,
Barbara Bravo,
Carlo Barbante,
Andrea Gambaro,
Barbara Bravo,
Fabiana Corami,
Fabiana Corami,
Andrea Gambaro,
Fabiana Corami,
Fabiana Corami,
Carlo Barbante,
Andrea Gambaro
Fabiana Corami,
Andrea Gambaro,
Beatrice Rosso,
Andrea Gambaro
Andrea Gambaro
Lucio Litti,
Andrea Gambaro,
Lucio Litti,
Fabiana Corami,
Carlo Barbante,
Fabiana Corami,
Fabiana Corami,
Andrea Gambaro,
Andrea Gambaro
Summary
Researchers developed and cross-validated methods using FTIR-ATR, micro-FTIR, pyrolysis-GC/MS, and scanning electron microscopy to identify and quantify tire wear particles in highway stormwater runoff. The study optimized pretreatment methods to extract tire wear particles without degradation, providing more accurate identification and reducing the risk of underestimating this important source of microplastic pollution.
Tire wear particles (TWPs) are one of the environment's most important emission sources of microplastics. In this work, chemical identification of these particles was carried out in highway stormwater runoff through cross-validation techniques for the first time. Optimization of a pre-treatment method (i.e., extraction and purification) was provided to extract TWPs, avoiding their degradation and denaturation, to prevent getting low recognizable identification and consequently underestimates in the quantification. Specific markers were used for TWPs identification comparing real stormwater samples and reference materials via FTIR-ATR, Micro-FTIR, and Pyrolysis-gas-chromatography-mass spectrometry (Pyr-GC/MS). Quantification of TWPs was carried out via Micro-FTIR (microscopic counting); the abundance ranged from 220,371 ± 651 TWPs/L to 358,915 ± 831 TWPs/L, while the higher mass was 39,6 ± 9 mg TWPs/L and the lowest 31,0 ± 8 mg TWPs/L. Most of the TWPs analyzed were less than 100 μm in size. The sizes were also confirmed using a scanning electron microscope (SEM), including the presence of potential nano TWPs in the samples. Elemental analysis via SEM supported that a complex mixture of heterogeneous composition characterizes these particles by agglomerating organic and inorganic particles that could derive from brake and road wear, road pavement, road dust, asphalts, and construction road work. Due to the analytical lack of knowledge about TWPs chemical identification and quantification in scientific literature, this study significantly contributes to providing a novel pre-treatment and analytical methodology for these emerging contaminants in highway stormwater runoff. The results of this study highlight the uttermost necessity to employ cross-validation techniques, i.e., FTIR-ATR, Micro-FTIR, Pyr-GC/MS, and SEM for the TWPs identification and quantification in the real environmental samples.