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The paint and coatings industry is known to have significant particulate matter (PM) emissions to the atmosphere. However, exposure levels are not studied in detail especially when considering submicrometre (PM1) and ultrafine particles (particle diameter below 100nm). The evidence is increasing that pulmonary exposures to these size fractions are potentially very harmful. This study investigates particle emissions during powder handling and paint mixing in two paint factories at two mixing stations in each factory. In each case measurements were made simultaneously at the mixing station (near-field; NF), as well as at 5-15 m distance into the workroom far-field (FF), and in the workers breathing zone. Particle concentrations (5nm to 30 µm) were measured using high time-resolution particle instruments and gravimetrically using PM1 cyclone filter samplers. The PM1 filters were also characterized by scanning electron microscopy (SEM). The NF particle and dust concentration levels were linked to pouring powder and were used to characterize the emissions and efficiencies of localized controls. NF particle number concentrations were 1000-40000cm(-3) above FF concentrations. NF particles were mainly between 100 and 500nm and emissions appeared to occur in short bursts. Personal PM1 exposure levels varied between 0.156 and 0.839mg m(-3) and were 1.6-15 times higher than stationary NF PM1 concentrations. SEM results verified that the personal exposure and NF particles were strongly dominated by the pigments and fillers used. Better understanding of the entire temporal personal exposure could be improved by using real-time particle monitors for personal exposure measurements. This study provides better insight into PM exposure characteristics and concentration levels in the paint industry.
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http://dx.doi.org/10.1093/annhyg/mev014 | DOI Listing |
Lipids Health Dis
September 2025
Epidemiology, Medical Faculty, University of Augsburg, Stenglingstr. 2, Augsburg, 86156, Germany.
Background: This study aimed to investigate the gender-specific associations of skeletal muscle mass and fat mass with non-alcoholic fatty liver disease (NAFLD) and NAFLD-related liver fibrosis in two population-based studies.
Methods: Analyses were based on data from the MEGA (n = 238) and the MEIA study (n = 594) conducted between 2018 and 2023 in Augsburg, Germany. Bioelectrical impedance analysis was used to evaluate relative skeletal muscle mass (rSM) and SM index (SMI) as well as relative fat mass (rFM) and FM index (FMI); furthermore, the fat-to-muscle ratio was built.
BMC Infect Dis
September 2025
Department of Laboratory Medicine, Affiliated Hospital of Medical School, Nanjing Drum Tower Hospital, Nanjing University, Nanjing, China.
Background: Serratia marcescens is an opportunistic pathogen increasingly associated with healthcare-associated infections and rising antimicrobial resistance. The emergence of multidrug-resistant (MDR) and carbapenem-resistant S. marcescens (CRSM) presents significant therapeutic challenges.
View Article and Find Full Text PDFBMC Endocr Disord
September 2025
Internal Medicine Department, Faculty of Medicine, Beni-Suef University, Beni-Suef City, 62514, Egypt.
Background: Thyroid nodules (TNs) are frequent and often benign. Accurately differentiating between benign and malignant nodules is crucial for proper management. This research aims to use ultrasonography to examine TNs and identify possible risk factors in order to improve patient outcomes and diagnostic accuracy.
View Article and Find Full Text PDFEnviron Geochem Health
September 2025
Environmental Hydrology Division, National Institute of Hydrology, Roorkee, 247667, India.
Radon (Rn) is a naturally occurring radioactive gas produced by the decay of uranium-bearing minerals in rocks and soils. Long-term exposure to elevated radon levels in drinking water is associated with an increased risk of stomach and lung cancers. This study aims to assess the concentration of radon in groundwater and evaluate its potential health risks in six cancer-affected districts, i.
View Article and Find Full Text PDFMem Cognit
September 2025
Department of Psychology, University of York, York, YO10 5DD, UK.
Language control has been argued to adapt dynamically to the language context bilinguals are communicating in (Green & Abutalebi, 2013). Previous research has suggested that the demands of the task and current context itself can influence a bilingual's language behaviour and potentially also their language control. Here, we examined how the preceding context, specifically the switching patterns of another bilingual in that context, can influence a bilingual's own language control during production.
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