Passive air sampling is increasingly used for air quality monitoring and for personal sampling. In a novel experimental exposure chamber study, 3 types of polydimethylsiloxane (PDMS, including sheet and wristband) and 1 type of polyurethane foam (PUF) passive air samplers were tested for gas-phase uptake of 200 semi volatile organic compounds (SVOCs) during six months. For 155 SVOCs including PAH, PCB, phthalates, organophosphate esters, musk compounds, organochlorine- and other pesticides, a normalized generic uptake rate (Rs) of 7.6 ± 1.3 m d dm and a generic mass transfer coefficient (MTC) of 0.87 ± 0.15 cm s at a wind speed of 1.3 m s were determined. Variability of sampling rates within and between passive sampling media and analyte groups was not statistically significant, supporting the hypothesis of air-side controlled uptake regardless of sampling material. A statistical relationship was developed between the sampling rate and windspeed which can be used to obtain a sampling rate applicable to specific deployment conditions. For 98 SVOCs, partition coefficients (Ksampler-air) for PUF and PDMS were obtained, which determine the duration of linear uptake and capacity of the sampler for gas-phase uptake. Ksampler-air for PDMS were approximately 10 times higher than for PUF, suggesting that PDMS can be deployed for longer time per volume of sampler, while uptake remains in the linear phase. Statistical relationships were developed to estimate Kpuf-air and Kpdms-air from Koa. These results improve the understanding of the performance of PDMS and PUF passive samplers and contribute to the development of PDMS for the use as a promising personal sampler.
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http://dx.doi.org/10.1016/j.chemosphere.2019.04.043 | DOI Listing |
Min Metall Explor
November 2024
Miller Consulting, Spokane, WA, USA.
Occupational exposures to respirable dusts and respirable crystalline silica (RCS) is well established as a health hazard in many industries including mining, construction, and oil and gas extraction. The U.S.
View Article and Find Full Text PDFVet Clin North Am Food Anim Pract
January 2025
Department of Veterinary and Biomedical Sciences, Animal Disease Research and Diagnostic Laboratory, South Dakota State University, Brookings, SD 57007, USA.
Respiratory disease in cattle and small ruminants is caused by various factors, including inadequate biosecurity and biocontainment. Biosecurity and biocontainment depend on good husbandry. Testing on arrival and quarantining for 42 to 56 days could improve biosecurity.
View Article and Find Full Text PDFMicromachines (Basel)
November 2024
Instituto Nacional de Astrofísica, Óptica y Electrónica-INAOE, Puebla 72840, Mexico.
This work presents the design, fabrication, and rigorous validation of a flexible, wireless, capacitive pressure sensor for the full-range continuous monitoring of ventricular pressure. The proposed system consists of an implantable set and an external readout device; both modules were designed to form an RCL resonant circuit for passive, wireless pressure sensing and signal retrieving. Using surface micromachining and flexible electronics techniques, a two-variable capacitor array and a dual-layer planar coil were integrated into a flexible ergonomic substrate, avoiding hybrid-like connections in the implantable set.
View Article and Find Full Text PDFInt J Environ Res Public Health
December 2024
Department of Environmental Health, School of Public Health, Boston University, Boston, MA 02118, USA.
Residents of Bangladesh are exposed to numerous chemicals due to local industries, including dyeing mills, cotton mills, and the use of biomass in daily cooking. It is, therefore, important to characterize the exposome and work to identify risk factors of exposure. We used silicone wristband passive samplers to evaluate exposure to volatile and semi-volatile organic compounds in a sample of 40 children in the Araihazar upazila of Bangladesh.
View Article and Find Full Text PDFInt J Med Inform
December 2024
Biomedical Informatics Center, Department of Public Health Sciences, Medical University of South Carolina (MUSC), Charleston, SC 29425, USA. Electronic address:
Objectives: This scoping review aims to clarify the definition and trajectory of citizen-led scientific research (so-called citizen science) within the healthcare domain, examine the degree of integration of machine learning (ML) and the participation levels of citizen scientists in health-related projects.
Materials And Methods: In January and September 2024 we conducted a comprehensive search in PubMed, Scopus, Web of Science, and EBSCOhost platform for peer-reviewed publications that combine citizen science and machine learning (ML) in healthcare. Articles were excluded if citizens were merely passive data providers or if only professional scientists were involved.
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