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Goßmann, Isabel; Halbach, Maurits; Scholz-Böttcher, Barbara (2023): Car and truck tire wear particles in road dust samples - A quantitative comparison with traditional microplastic polymer mass loads [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.959716

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Abstract:
This data set provides quantitative mass loads of tire wear particles (TWP) and traditional microplastics (C-PE, C-PP, C-PS, C-PVC, C-PMMA, C-PET, C-PC, C-MDI-PUR) in the urban environment. A differentiation between car and truck tire wear (CTT and TTT) was presented. The C-PVC cluster might be interfered by additional anthropogenic sources, as the C-PVC indicator naphthalene is highly unspecific, accordingly the given results primarily reflect the order of magnitude. In this study, road dusts were analyzed and measured with pyrolysis-gas chromatography-mass spectronomy (Py-GC/MS). Pyrolysis was performed at 590°C in a micro-furnace pyrolizer (EGA/Py-3030D, FrontierLabs) connected to an auto-shot sampler (AS-1020E, FrontierLabs). A gas chromatograph (6890 N, Agilent) equipped with a DB-5MS column was used for separation. The mass spectrometer (MSD 5973, Agilent) operated with full-scan mode. A gas chromatograph (6890 N, Agilent) equipped with a DB-5MS column was used for separation. The mass spectrometer (MSD 5977A) operated with full-scan mode. Additional information are found in the supplementary information of the related study. Road dust samples were collected in a mid-sized German city (Oldenburg). Road dust were contaminated with traditional microplastics and tire wear particles. The here presented data are part of a study, which has been published in February 2021 (doi: 10.1016/j.scitotenv.2021.145667).
Keyword(s):
car tires; Microplastics; Py-GC/MS; tire wear particles; truck tires
Related to:
Goßmann, Isabel; Halbach, Maurits; Scholz-Böttcher, Barbara (2021): Car and truck tire wear particles in complex environmental samples – A quantitative comparison with "traditional" microplastic polymer mass loads. Science of the Total Environment, 773, 145667, https://doi.org/10.1016/j.scitotenv.2021.145667
Coverage:
Median Latitude: 53.127085 * Median Longitude: 8.187105 * South-bound Latitude: 53.108330 * West-bound Longitude: 8.141940 * North-bound Latitude: 53.148060 * East-bound Longitude: 8.210830
Date/Time Start: 2019-11-01T00:00:00 * Date/Time End: 2020-01-27T00:00:00
Event(s):
2019_TWP_A (A) * Latitude: 53.148060 * Longitude: 8.182500 * Date/Time: 2019-11-01T00:00:00 * Location: Oldenburg, Germany * Method/Device: Shovel (SHOVEL)
2019_TWP_B (B) * Latitude: 53.143330 * Longitude: 8.192780 * Date/Time: 2019-11-01T00:00:00 * Location: Oldenburg, Germany * Method/Device: Shovel (SHOVEL)
2019_TWP_C (C) * Latitude: 53.141110 * Longitude: 8.208610 * Date/Time: 2019-11-01T00:00:00 * Location: Oldenburg, Germany * Method/Device: Shovel (SHOVEL)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1Event labelEventGoßmann, Isabel
2NameNameGoßmann, Isabeloptional event label
3DATE/TIMEDate/TimeGoßmann, IsabelGeocode
4LATITUDELatitudeGoßmann, IsabelGeocode
5LONGITUDELongitudeGoßmann, IsabelGeocode
6Car tire wear particlesCar TWPg/kgGoßmann, IsabelPyrolysis-gas chromatography-mass spectrometry (Py-GC/MS)
7Truck tire wear particlesTruck TWPg/kgGoßmann, IsabelPyrolysis-gas chromatography-mass spectrometry (Py-GC/MS)
8Polyethylene, clusterC-PEg/kgGoßmann, IsabelPyrolysis-gas chromatography-mass spectrometry (Py-GC/MS)
9Polypropylene, clusterC-PPg/kgGoßmann, IsabelPyrolysis-gas chromatography-mass spectrometry (Py-GC/MS)
10Polyethylene terephthalate, clusterC-PETg/kgGoßmann, IsabelPyrolysis-gas chromatography-mass spectrometry (Py-GC/MS)
11Polystyrene, clusterC-PSg/kgGoßmann, IsabelPyrolysis-gas chromatography-mass spectrometry (Py-GC/MS)
12Polyvinyl chloride, clusterC-PVCg/kgGoßmann, IsabelPyrolysis-gas chromatography-mass spectrometry (Py-GC/MS)interfered
13Polycarbonate, clusterC-PCg/kgGoßmann, IsabelPyrolysis-gas chromatography-mass spectrometry (Py-GC/MS)
14Polymethylmethacrylate, clusterC-PMMAg/kgGoßmann, IsabelPyrolysis-gas chromatography-mass spectrometry (Py-GC/MS)
15Polyamide 6, clusterC-PA6g/kgGoßmann, IsabelPyrolysis-gas chromatography-mass spectrometry (Py-GC/MS)
16Diphenylmethane diisocyanate-Polyurethane, clusterC-MDI-PURg/kgGoßmann, IsabelPyrolysis-gas chromatography-mass spectrometry (Py-GC/MS)
17SumSumGoßmann, IsabelPyrolysis-gas chromatography-mass spectrometry (Py-GC/MS)sum of ""traditional"" microplastics
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
169 data points

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