Cited by 54Microplastics and Plastic PollutionPharmaceutical and Antibiotic Environmental ImpactsUrban Stormwater Management Solutions

The DOI matches its Crossref record.

Tire wear particles concentrations in gully pot sediments

Open access
Mengistu, Demmelash, Heistad, Arve, Coutris, Claire·2021·Science of The Total Environment

Abstract

While tire wear and tear is known to be a major source of microplastics in the environment, its monitoring is still hampered by the lack of analytical methods able to provide concentrations in environmental matrices. Tire wear particles (TWP) present in road runoff enter the drainage system through gully pots, built to prevent sediment deposition in the drainage system, and eventually protect downstream receiving waters. The aim of this study was to detect and quantify TWP in gully pot sediments, by using a novel method combining Simultaneous Thermal Analysis (STA), Fourier Transform Infrared (FTIR) spectroscopy and Parallel Factor Analysis (PARAFAC). The method was applied to samples from five sites in Southern Norway, characterized by different traffic densities and patterns. The method involved no sample pretreatment, the whole sediment sample was submitted to thermal decomposition in STA, and gases generated during pyrolysis were continuously transferred to FTIR. The FTIR data were arranged in a trilinear multi-way dataset (samples × IR spectra wavenumber × pyrolysis temperature) and then analyzed by PARAFAC. The results showed that TWP concentrations in gully pots varied greatly across sites, ranging from below 1 mg TWP/g sediment in streets with the lowest traffic densities, to 150 mg TWP/g sediment at the most trafficked study site. The results also indicated that other traffic conditions, such as driving patterns influence TWP concentrations. Finally, by enabling quantification of TWP in gully pot sediments, the approach presented here supports environmental monitoring of TWP and safe disposal of gully pot sediments, which is critical for environmental pollution management.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.scitotenv.2020.144785

Cites

Statistics

Figures

Fig. 1 . Fig. 1. (a) Overview of sampling sites and gully pots, (b) gully pots at site Sjoskogenveien (1,2), (c) gully pots at sites Raadhusplassen (3, 4), Maaltrostveien (5, 6), and Brekkeveien (7, 8), (d) gully pots at site Nordbyveien (9, 10).
Fig. 1 . Fig. 1. (a) Overview of sampling sites and gully pots, (b) gully pots at site Sjoskogenveien (1,2), (c) gully pots at sites Raadhusplassen (3, 4), Maaltrostveien (5, 6), and Brekkeveien (7, 8), (d) gully pots at site Nordbyveien (9, 10).CC-BY · From the PDF
Fig. 2 . Fig. 2. Components loadings from the PARAFAC model. (a) wavenumber loading of component 1, (b) pyrolysis temperature loading of component 1, (c) wavenumber loading of component 2, (d) pyrolysis temperature loading of component 2. Component 1 corresponds to tire rubber materials and component 2 to other substances (including plant materials).
Fig. 2 . Fig. 2. Components loadings from the PARAFAC model. (a) wavenumber loading of component 1, (b) pyrolysis temperature loading of component 1, (c) wavenumber loading of component 2, (d) pyrolysis temperature loading of component 2. Component 1 corresponds to tire rubber materials and component 2 to other substances (including plant materials).CC-BY · From the PDF

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 36

  1. Andersen, 2003, Practical aspects of PARAFAC modeling of fluorescence excitation-emission data, J. Chemom., 10.1002/cem.790 · DOI
  2. Baum, 2016, Rapid quantification of casein in skim milk using Fourier transform infrared spectroscopy, enzymatic perturbation, and multiway partial least squares regression: monitoring chymosin at work, J. Dairy Sci., 99, 6071, 10.3168/jds.2016-10947 · DOI
  3. Birch, 2003, Heavy metals in road dust, gully pots and parkland soils in a highly urbanised sub-catchment of Port Jackson, Australia, Aust. J. Soil Res., 41, 1329, 10.1071/SR02147 · DOI
  4. Bolognesi, 2008, Experimental study of roadside gully pots efficiency in trapping solids washed off during rainfall events, Int. Conf. Urban Drain, 1
  5. Bondelind, 2020, Hydrodynamic modelling of traffic-related microplastics discharged with stormwater into the Göta River in Sweden, Environ. Sci. Pollut. Res., 27, 24218, 10.1007/s11356-020-08637-z · DOI
  6. Bro, 2003, A new efficient method for determining the number of components in PARAFAC models, J. Chemom., 17, 274, 10.1002/cem.801 · DOI
  7. Cadle, 1978, Gas and particle emissions from automobile tires in laboratory and field studies, J. Air Pollut. Control Assoc., 28, 502, 10.1080/00022470.1978.10470623 · DOI
  8. Cambridge Polymer Group, 2014
  9. Eisentraut, 2018, Two birds with one stone - fast and simultaneous analysis of microplastics: microparticles derived from thermoplastics and tire wear, Environ. Sci. Technol. Lett., 5, 608, 10.1021/acs.estlett.8b00446 · DOI
  10. Fernández-Berridi, 2006, Pyrolysis-FTIR and TGA techniques as tools in the characterization of blends of natural rubber and SBR, Thermochim. Acta, 444, 65, 10.1016/j.tca.2006.02.027 · DOI
  11. Gunasekaran, 2007, FTIR spectra and mechanical strength analysis of some selected rubber derivatives, Spectrochim. Acta - Part A Mol. Biomol. Spectrosc., 68, 323, 10.1016/j.saa.2006.11.039 · DOI
  12. Januszewicz, 2017, Physicochemical problems of mineral processing thermogravimetric analysis/pyrolysis of used tyres and waste rubber, Physicochem. Probl. Miner. Process, 53, 802
  13. Järlskog, 2020, Occurrence of tire and bitumen wear microplastics on urban streets and in sweepsand and washwater, Sci. Total Environ., 729, 10.1016/j.scitotenv.2020.138950 · DOI · Paper page
  14. Jasminská, 2013, The effect of temperature pyrolysis process of used tires on the quality of output products, Acta Mech. Autom., 7, 20
  15. John, 2000, Interpretation of infrared spectra, a practical approach, Encycl. Anal. Chem., 10815–10837
  16. Jusli, 2014, Chemical properties of waste tyre rubber granules, Adv. Mater. Res., 911, 77, 10.4028/www.scientific.net/AMR.911.77 · DOI
  17. Karlsson, 2008, Polycyclic aromatic hydrocarbons (PAH) in water and sediment from gully pots, Water Air Soil Pollut., 188, 271, 10.1007/s11270-007-9543-5 · DOI
  18. Kawamoto, 2017, Lignin pyrolysis reactions, J. Wood Sci., 63, 117, 10.1007/s10086-016-1606-z · DOI · Paper page
  19. Knight, 2020, Tyre wear particles: an abundant yet widely unreported microplastic?, Environ. Sci. Pollut. Res., 27, 18345, 10.1007/s11356-020-08187-4 · DOI · Paper page
  20. Kole, 2017, Wear and tear of tyres: a stealthy source of microplastics in the environment, Int. J. Environ. Res. Public Health, 14, 10.3390/ijerph14101265 · DOI
  21. Kreider, 2010, Physical and chemical characterization of tire-related particles: comparison of particles generated using different methodologies, Sci. Total Environ., 408, 652, 10.1016/j.scitotenv.2009.10.016 · DOI
  22. Lindholm, 2015, Forurensingstilførsler fra veg og betydningen av å tømme sandfang, Vann, 93
  23. Manohar, 2017, A unique application of the second order derivative of FTIR–ATR spectra for compositional analyses of natural rubber and polychloroprene rubber and their blends, Polym. Test., 62, 447, 10.1016/j.polymertesting.2017.07.030 · DOI
  24. Mengistu, 2019, Detection and quantification of tire particles in sediments using a combination of simultaneous thermal analysis, Fourier transform infra-red, and parallel factor analysis, Int. J. Environ. Res. Public Health, 16, 10.3390/ijerph16183444 · DOI
  25. Murphy, 2013, Fluorescence spectroscopy and multi-way techniques, PARAFAC. Anal. Methods, 5, 6557, 10.1039/c3ay41160e · DOI
  26. Panko, 2013, Measurement of airborne concentrations of tire and road wear particles in urban and rural areas of France, Japan, and the United States, Atmos. Environ., 72, 192, 10.1016/j.atmosenv.2013.01.040 · DOI
  27. Pantea, 2003, Heat-treatment of carbon blacks obtained by pyrolysis of used tires. Effect on the surface chemistry, porosity and electrical conductivity, J. Anal. Appl. Pyrolysis, 67, 55, 10.1016/S0165-2370(02)00017-7 · DOI
  28. Rhodes, 2012, Zinc leaching from tire crumb rubber, Environ. Sci. Technol., 46, 12856, 10.1021/es3024379 · DOI
  29. Roy, 2004, Oil and carbon black by pyrolysis of used tires, Proc. Int. Conf. Sustain. Waste Manag. Recycl. Used/Post-Consumer Tyres, 17
  30. Schindler, 2013, A novel direct coupling of simultaneous thermal analysis (STA) and Fourier transform-infrared (FT-IR) spectroscopy, J. Therm. Anal. Calorim., 113, 1091, 10.1007/s10973-013-3072-9 · DOI
  31. Sommer, 2018, Tire abrasion as a major source of microplastics in the environment, Aerosol Air Qual. Res., 18, 2014, 10.4209/aaqr.2018.03.0099 · DOI
  32. Thorpe, 2008, Sources and properties of non-exhaust particulate matter from road traffic: a review, Sci. Total Environ., 400, 270, 10.1016/j.scitotenv.2008.06.007 · DOI
  33. Unice, 2012, Use of a deuterated internal standard with pyrolysis-GC/MS dimeric marker analysis to quantify tire tread particles in the environment, Int. J. Environ. Res. Public Health, 9, 4033, 10.3390/ijerph9114033 · DOI
  34. Vogelsang, 2018, Microplastics in road dust – characteristics, pathways and measures, 173
  35. Wagner, 2018, Tire wear particles in the aquatic environment - a review on generation, analysis, occurrence, fate and effects, Water Res., 139, 83, 10.1016/j.watres.2018.03.051 · DOI · Paper page
  36. Yang, 2018, A modified kinetic analysis method of cellulose pyrolysis based on TG–FTIR technique, Thermochim. Acta, 665, 20, 10.1016/j.tca.2018.05.008 · DOI

Cited by

Sorted by citations

Metadata

Authors
Mengistu, D., Heistad, A., & Coutris, C.
Affiliations
  • Norwegian University of Life Sciences (NO)
  • Norwegian Institute of Bioeconomy Research (NO)
Corresponding author
Mengistu, Demmelash
Venue
Science of The Total Environment
Publisher
Elsevier BV
Published
2021-05
Volume
769
Pages
144785
ISSN
0048-9697 (ISSN-L)
OpenAlex
W3119962544
Cited by
54
References
0
Citations by year
2026: 4 · 2025: 11 · 2024: 16 · 2023: 13 · 2022: 7 · 2021: 3
FWCI
2.43
Type
journal article
Language
en
Open access
Locations
  • The Science of The Total Environment (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • NORA - Norwegian Open Research Archives (submittedVersion, cc-by)
  • NORA - Norwegian Open Research Archives (submittedVersion, other-oa)
Funders
  • Norges Forskningsråd (194051, 272946)
  • Norsk institutt for Bioøkonomi
Topics
  • Physical Sciences › Environmental Science › Pollution › Microplastics and Plastic Pollution
  • Physical Sciences › Environmental Science › Pollution › Pharmaceutical and Antibiotic Environmental Impacts
  • Physical Sciences › Environmental Science › Environmental Engineering › Urban Stormwater Management Solutions
Keywords
tire wear particles, road runoff, microplastics, traffic density, driving patterns, pyrolysis, thermal decomposition, PARAFAC, simultaneous thermal analysis, FTIR spectroscopy, sediment disposal, urban drainage

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review