Genotoxic effects of daily personal exposure to particle mass and number concentrations on buccal cells

Almeida, Daniela S. de; Costa, Silvano César da; Ribeiro, Marcelo Leite; Moreira, Camila A.B.; Beal, Alexandra; Squizzato, Rafaela; Rudke, Anderson Paulo; Rafee, Sameh Adib Abou; Martins, Jorge Alberto; Palioto, Graciana Freitas; Kumar, Prashant; Martins, Leila Droprinchinski

doi:10.1016/j.atmosenv.2017.12.021

Cited by 12 publications

(4 citation statements)

References 64 publications

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“…The very small size of UFPs enables them to penetrate deeply into the cardiorespiratory system to the terminal bronchioles and alveoli (Rückerl et al, 2011), bloodstream (Bakand et al, 2012) and body organs such as lung, brain, kidney and liver (Morris et al, 2003). UFP exposure has been linked to increased medication use in asthmatic adults (Von Klot et al, 2002), diminished lung function (McCreanor et al, 2007), and damage DNA of buccal cells (de Almeida et al, 2018). Furthermore, positive associations have been observed between UFP exposure and myocardial ischemia, cardiac arrhythmia, cardiovascular mortality, and blood biomarkers of inflammation (Atkinson et al, 2010;Lane et al, 2016;Stölzel et al, 2007).…”

mentioning

confidence: 99%

A review of factors impacting exposure to PM2.5, ultrafine particles and black carbon in Asian transport microenvironments

Kumar

Patton

Durant

et al. 2018

Atmospheric Environment

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130

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mentioning

confidence: 99%

A review of factors impacting exposure to PM2.5, ultrafine particles and black carbon in Asian transport microenvironments

Kumar

Patton

Durant

et al. 2018

Atmospheric Environment

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130

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“…Stationary sources play a fundamental role in the air pollutants levels in Brazil (Kawashima et al, 2020); however, mobile sources are the primary sources of air pollution in large urban centers (Almeida et al, 2018;Andrade et al, 2012Andrade et al, , 2017Moreira et al, 2018;Rudke et al, 2021). The country has a fleet of more than 106 million vehicles -considering light and heavy-duty vehicles (DENATRAN, 2020).…”

Section: Study Areamentioning

confidence: 99%

Impacts of Strategic Mobility Restrictions Policies during 2020 COVID-19 Outbreak on Brazil’s Regional Air Quality

Rudke

Almeida

Alves

et al. 2022

Aerosol Air Qual. Res.

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With the unexpected arrival of the COVID-19 pandemic, countries worldwide were forced to take measures to curb its transmission. Mobility restrictions policies were the primary preventive measures applied around the globe. In addition to reducing the disease spread, they resulted in air quality changes in urbanized areas. In this sense, this study aimed to investigate how the mobility restrictions imposed by public policies impacted the air quality in Brazil during the COVID-19 2020 outbreak. Therefore, air quality (CO, NO2, PM10, PM2.5, and O3) and urban mobility datasets available in five populous Brazilian states (São Paulo, Rio de Janeiro, Espírito Santo, Paraná, and Rio Grande do Sul) were analyzed. Variations in air pollutant concentrations were verified by comparing the period during mobility restrictions (2020) and the average concentrations found before the restrictions (2015-2019). In addition, spatial assessment of changes was evaluated using tropospheric NO2 column densities from the TROPOMI. Although there was no national regulation regarding mobility restrictions, the results show that the reduction in urban mobility was similar for all the analyzed states. Following the mobility behavior, reducing air pollutant concentrations were significant for the first 30 days of restrictions. During this period, the most substantial reductions were observed for CO in the State of Rio Grande do Sul (-53%), NO2 in Rio de Janeiro (-34%), and PM10 in Espírito Santo (-23%). The exception was observed for O3, which followed the world trend of increasing concentrations (e.g., 40% increase in Paraná). Spatially, it was possible to evidence that large urban centers (with a large vehicle fleet) were the ones that showed the most significant reduction in NO2. However, when analyzing longer periods (over 90 days), there is a trend towards an increase in the concentrations of primary pollutants and a consequent reduction in O3, reflecting the significant increase in mobility rates.

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“…O estudo da simulação de processo permitiu concluir que os softwares comerciais desenvolvidos para simulação facilitam a modelagem do sistema, e permitem prever melhorias otimizando os processos industriais. , 2002;CHEN et al, 2013;OMS, 2016;ALMEIDA et al, 2018). Em 2012, uma em cada nove mortes foi o resultado de condições relacionadas à poluição do ar e cerca de 3 milhões foram atribuídas unicamente à poluição atmosférica ao ar livre (OMS, 2016).…”

Section: Conclusãounclassified

Simulação Do Processo De Produção Do Fluido Refrigerante R-410a Utilizando Um Misturador Estático

Queiróz¹,

Pereira²,

Mendes³

et al. 2019

Ciência, Tecnologia E Inovação: Desafi O Para Um Mundo Global 2

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Genotoxic effects of daily personal exposure to particle mass and number concentrations on buccal cells

Cited by 12 publications

References 64 publications

A review of factors impacting exposure to PM2.5, ultrafine particles and black carbon in Asian transport microenvironments

A review of factors impacting exposure to PM2.5, ultrafine particles and black carbon in Asian transport microenvironments

Impacts of Strategic Mobility Restrictions Policies during 2020 COVID-19 Outbreak on Brazil’s Regional Air Quality

Simulação Do Processo De Produção Do Fluido Refrigerante R-410a Utilizando Um Misturador Estático

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