Contaminants present in dust adhering to the skin can pose a significant risk to human health through dermal absorption and hand-to-mouth contact. The adhesion capacity of dust differs significantly from that of soil due to its physicochemical properties. Therefore, applying the raw soil exposure parameters to estimate the health risks associated with dermal exposure to dust may lead to erroneous conclusions. In this study, we quantified the maximum amount of dust that adhered to the skin (MAD) and the upper limit of dust-skin adherence factor (DSAF) in 26 adults using element markers as a proxy for dust. The volunteers were exposed to dust and rinse water samples were collected from their hands, forearms, lower legs, and feet. We analyzed both the raw dust samples and the rinse water samples for 11 element markers, including Be, V, Cr, Mn, Co, Ni, Cu, Zn, Se, Ba, and Pb. The results showed that the MAD of indoor dust and outdoor dust increased by 0.08-0.62 mg and 0.33-0.56 mg following a 1 cm increase in skin surface area, respectively. Based on best dust element markers, the body part-weighted dust-skin adherences (WDSAFs) of indoor dust and outdoor dust were 0.35 and 0.64 mg/cm, respectively. A smaller particle size and higher moisture content resulted in a larger DSAF. Only when indoor dust concentrations exceed 24.2 mg/m or outdoor dust concentrations exceed 44.3 mg/m, can the WDSAF be applied directly in the health risk assessment of dermal exposure to dust. The method from this study can be re-applied in different regions, and the adherence data can help to improve future studies on the health effects of dermal exposure to dust.
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http://dx.doi.org/10.1016/j.chemosphere.2023.139754 | DOI Listing |
Sci Rep
December 2024
School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, China.
The dolomite dust-emulsified asphalt composite (DAC) with excellent mechanical properties was successfully prepared using alkali activation. The effects of different alkali concentrations and emulsified asphalt contents on the mechanical properties of the materials were studied. And the micro-mechanisms of its mechanical performance changes were analyzed through SEM and XRD characterization.
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December 2024
Department of Applied Mathematics, Faculty of Mathematical Science, Ferdowsi University of Mashhad, Mashhad, Iran.
This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 2016 and 2020, includes demographic, occupational, lifestyle, and medical information. After preprocessing and feature engineering, the Random Forest algorithm was identified as the best-performing model, achieving 99% accuracy for HTN prediction and 97% for CVD, outperforming other algorithms such as Logistic Regression and Support Vector Machines.
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December 2024
State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
Sand and dust storms (SDS) can cause adverse health effects, with the oxidative potential (OP) and environmentally persistent free radicals (EPFRs) inducing oxidative stress. We mapped the OP and EPFRs concentrations at 1735 sites in China during SDS periods using experimental data for 2021-2023 and a random forest model. We examined 855,869 hospitalizations during SDS events for 2015-2022 in Beijing, China.
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December 2024
Allergy and Clinical Immunology Unit, Meir Medical Center, Kfar Saba, Israel.
Background: Asthma, allergic rhinitis, atopic dermatitis, and food allergy are type 2 inflammation diseases. Since the 1960s, the prevalence of those diseases has steadily increased, presumably due to the "Hygiene hypothesis" which suggests that early exposure of infants to pathogens, siblings, and environmental dust, has a protective effect against the development of allergic diseases. The COVID-19 pandemic increased environmental hygiene due to lockdowns, masks, and social distancing.
View Article and Find Full Text PDFACS Appl Energy Mater
December 2024
Research Center for Materials, Architectures and Integration of Nanomembranes (MAIN), Chemnitz University of Technology, 09107 Chemnitz, Germany.
Transforming thin films into high-order stacks has proven effective for robust energy storage in macroscopic configurations like cylindrical, prismatic, and pouch cells. However, the lack of tools at the submillimeter scales has hindered the creation of similar high-order stacks for micro- and nanoscale energy storage devices, a critical step toward autonomous intelligent microsystems. This Spotlight on Applications article presents recent advancements in micro-origami technology, focusing on shaping nano/micrometer-thick films into three-dimensional architectures to achieve folded or rolled structures for microscale energy storage devices.
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