Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/101183
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dc.contributorDepartment of Civil and Environmental Engineeringen_US
dc.creatorLuo, Xen_US
dc.creatorZhao, Zen_US
dc.creatorXie, Jen_US
dc.creatorLuo, Jen_US
dc.creatorChen, Yen_US
dc.creatorLi, Hen_US
dc.creatorJin, Len_US
dc.date.accessioned2023-08-30T04:15:41Z-
dc.date.available2023-08-30T04:15:41Z-
dc.identifier.issn0045-6535en_US
dc.identifier.urihttp://hdl.handle.net/10397/101183-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.rights© 2018 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication Luo, X., Zhao, Z., Xie, J., Luo, J., Chen, Y., Li, H., & Jin, L. (2019). Pulmonary bioaccessibility of trace metals in PM2. 5 from different megacities simulated by lung fluid extraction and DGT method. Chemosphere, 218, 915-921 is available at https://doi.org/10.1016/j.chemosphere.2018.11.079.en_US
dc.subjectAtmospheric particulate pollutionen_US
dc.subjectDiffusive gradients in Thin-films techniqueen_US
dc.subjectGamble's solutionen_US
dc.subjectHeavy metalsen_US
dc.subjectInhalable bioaccessibilityen_US
dc.titlePulmonary bioaccessibility of trace metals in PM2.5 from different megacities simulated by lung fluid extraction and DGT methoden_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage915en_US
dc.identifier.epage921en_US
dc.identifier.volume218en_US
dc.identifier.doi10.1016/j.chemosphere.2018.11.079en_US
dcterms.abstractAtmospheric fine particulate matters (PM2.5) pose significant risks to human health through inhalation, especially in the rapidly developing China due to air pollution. The harmful effects of PM2.5 are determined not only by its concentrations and hazardous components from diverse sources, but more by their bioavailable fractions actually absorbed by human body. To accurately estimate the inhalation risks of airborne metals, a physiologically based bioaccessibility method combining Simulated Lung Fluid (SLF) extraction and Diffusive Gradients in Thin-films (DGT) approaches was developed, representing the dissolution of particulate metals into lung fluid and the subsequent lung absorption of free metal cations in solution, respectively. The new method was used to compare the lung bioaccessibility of typical trace metals in PM2.5 from three China megacities (Shanghai and Nanjing in the east, Guangzhou in south) during heavy pollution seasons. Generally, the SLF bioaccessibility (%) simulating the solubility of particulate metals in alveolar lung fluid was in order of Ni > Cd > Mn » Pb, while the succeeding DGT bioaccessibility representing labile metal fractions in solution phase absorbed directly by lung was lower and ranked as Ni ∼ Mn > Cd » Pb, thus Ni and Cd posed relatively higher potential risks owing to their high air pollution level and higher pulmonary bioaccessibility. Due to varied particle sources such as coal combustion and traffic emissions, some airborne metal concentrations (Pb, Ni) showed inconsistent spatial patterns with bulk PM2.5 concentrations, and also varied bioaccessibility in different regions. The framework for PM2.5 pollution risk assessments should be refined by considering both aerosol components and associated pollutants’ bioaccessibility.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationChemosphere, Mar. 2019, v. 218, p. 915-921en_US
dcterms.isPartOfChemosphereen_US
dcterms.issued2019-03-
dc.identifier.scopus2-s2.0-85059298584-
dc.identifier.pmid30609496-
dc.identifier.eissn1879-1298en_US
dc.description.validate202308 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberCEE-1459-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextDistinguished Talents of Six Domains in Jiangsu Province; National Natural Science Foundation of China; Nanjing University of Information Science and Technologyen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS20278047-
dc.description.oaCategoryGreen (AAM)en_US
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