Publication Date:
2023-12-12
Description:
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).
Keywords:
2019_TWP_A; 2019_TWP_B; 2019_TWP_C; 2019_TWP_D; 2019_TWP_E; 2020_TWP_F; 2020_TWP_G; 2020_TWP_H; 2020_TWP_I; 2020_TWP_J; 2020_TWP_K; 2020_TWP_L; 2020_TWP_M; A; B; C; car tires; Car tire wear particles; D; DATE/TIME; Diphenylmethane diisocyanate-Polyurethane, cluster; E; Event label; F; FACTS; Fluxes and Fate of Microplastics in Northern European Waters; G; H; I; J; K; L; LATITUDE; LONGITUDE; M; Microplastics; Mikroplastikkontamination im Modellsystem Weser – Nationalpark Wattenmeer: ein ökosystemübergreifender Ansatz; Name; Oldenburg, Germany; PLAWES; Polyamide 6, cluster; Polycarbonate, cluster; Polyethylene, cluster; Polyethylene terephthalate, cluster; Polymethylmethacrylate, cluster; Polypropylene, cluster; Polystyrene, cluster; Polyvinyl chloride, cluster; Py-GC/MS; Pyrolysis-gas chromatography-mass spectrometry; Shovel; SHOVEL; Sum; tire wear particles; truck tires; Truck tire wear particles
Type:
Dataset
Format:
text/tab-separated-values, 169 data points
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