Black Carbon (BC) is a pollutant species primarily emitted from the combustion of fossil fuels. BC levels, associated with fine particulate matter (PM2.5), were monitored from January 2009 to December 2010 at an urban industrial area in Mumbai to study the seasonal and temporal variations and its contribution to fine particulate matter. Air particulate samples were collected in two size fractions, fine particulate matter (PM2.5) and coarse particulate matter (PM2.5-10), using a Gent air sampler. During the study period, arithmetic means of PM2.5 and PM2.5-10 were found to be 30.4 and 68.2 μg/m(3), respectively. The average value of BC in fine particulate matter was 4.0 μg/m(3), with a range of 1.0-9.4 μg/m(3). Studies carried out using Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model indicated the contribution of BC from the northern and central part of India during days of high BC levels.
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http://dx.doi.org/10.1007/s00128-013-1108-2 | DOI Listing |
Int J Biochem Cell Biol
January 2025
Department of Cardiovascular Surgery, Fujian Medical University Union Hospital, Fuzhou, China; Key Laboratory of Cardio-Thoracic Surgery (Fujian Medical University), Fujian Province University, Fuzhou, China. Electronic address:
Background: Heart failure is linked to increased hospitalization and mortality. Mitochondrial permeability transition-driven necrosis is associated with cardiovascular diseases, but its role in heart failure is unclear. This study aimed to identify and validate genes related to mitochondrial permeability transition-driven necrosis in heart failure, potentially leading to new drug targets and signaling pathways.
View Article and Find Full Text PDFEnviron Pollut
January 2025
Department of Mechanical Engineering, Hanbat National University, Daejeon, Korea 34518. Electronic address:
This study investigated the effectiveness of Racomitrium canescens in the removal of particulate matter (PM) under controlled flow and humidity conditions. PM pollution is a major environmental and public health concern and exposure to PM is linked to various adverse health effects. Conventional PM removal methods, such as filtration and electrostatic precipitation present challenges, including frequent filter replacement and ozone generation.
View Article and Find Full Text PDFEnviron Pollut
January 2025
Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou, China. Electronic address:
Epidemiological studies have reported that atmospheric particulate matter (PM) contributes to ischemic stroke (IS). Biological studies also indicated that the pathway where PM induces IS involves several pathological processes. Moreover, exposure to PM can alter the expression of specific microRNAs (miRNAs) and ultimately accelerate the onset of IS by regulating related pathways.
View Article and Find Full Text PDFBiol Aujourdhui
January 2025
Univ. Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, 9 avenue du Professeur Léon Bernard, F-35000 Rennes, France.
The health effects of air pollution have been recognized for many years. However, this area of research continues to receive increasing attention from both the scientific community and civil society. The aim of this article is to review the main epidemiological findings on the effects of outdoor air pollution.
View Article and Find Full Text PDFBackground: Several modifiable risk factors for dementia and related neurodegenerative diseases have been identified including education level, socio-economic status, and environmental exposures - however, how these population-level risks relate to individual risk remains elusive. To address this, we assess over 450 potential risk factors in one deeply clinically and demographically phenotyped cohort using random forest classifiers to determine predictive markers of poor cognitive function. This study aims to understand early risk factors for dementia by identifying predictors of poor cognitive performance amongst a comprehensive battery of imaging, blood, atmospheric pollutant and socio-economic measures.
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