Literature DB >> 31563770

Comparative analysis of urban road dust compositions in relation to their potential human health impacts.

Byumseok Koh1, Eun-Ah Kim2.   

Abstract

This study investigated the chemical components of fine urban road dust from seven sampling sites, based on which we could predict potential human health effects. The elemental compositions, including the contents of metals and volatile or semivolatile organic compounds, were determined to establish comprehensive chemical profiles of solid road dust. The chemical profiles, consisting of C: H ratio, metal contents, and relative abundances of organic compounds, provided a chemical signature for road dust. To overall cytotoxicity values ranging between 7 and 58%, water extracts contributed less than 15%, and cell death mainly occurred via direct contact with solid-phase components, which possibly indicates that the selected chemical profile of solid-phase road dust components could serve as a strong predictor for BJ and WI-38 cytotoxicity. Pure metal oxides (Cr2O3, CuO, Fe2O3, MnO2, NiO, or ZnO) exhibited a positive dose-response, and the corresponding metal contents in solid road dust were well correlated with cell viability. The principal component analysis (PCA) results suggested that the metal contents were stronger predictors of cytotoxicity than the benzene derivative or hydrocarbon contents. The chemical profiles established in this study could be further utilized to identify candidate health hazard factors in road dust.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Benzene derivative; Cytotoxicity; Hydrocarbon; Metal oxide; Principal component analysis; Road dust

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Year:  2019        PMID: 31563770     DOI: 10.1016/j.envpol.2019.113156

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  1 in total

1.  Utilization of road dust chemical profiles for source identification and human health impact assessment.

Authors:  Eun-Ah Kim; Byumseok Koh
Journal:  Sci Rep       Date:  2020-08-31       Impact factor: 4.379

  1 in total

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