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Predicting Spatial Variations in Multiple Measures of PM2.5Oxidative Potential and Magnetite Nanoparticles in Toronto and Montreal, Canada

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Predicting Spatial Variations in Multiple Measures of PM2.5Oxidative Potential and Magnetite Nanoparticles in Toronto and Montreal, Canada. / Ripley, S.; Minet, L.; Zalzal, J. et al.
In: Environmental Science and Technology, Vol. 56, No. 11, 07.06.2022, p. 7256-7265.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Ripley, S, Minet, L, Zalzal, J, Godri Pollitt, K, Gao, D, Lakey, PSJ, Shiraiwa, M, Maher, BA, Hatzopoulou, M & Weichenthal, S 2022, 'Predicting Spatial Variations in Multiple Measures of PM2.5Oxidative Potential and Magnetite Nanoparticles in Toronto and Montreal, Canada', Environmental Science and Technology, vol. 56, no. 11, pp. 7256-7265. https://doi.org/10.1021/acs.est.1c05364

APA

Ripley, S., Minet, L., Zalzal, J., Godri Pollitt, K., Gao, D., Lakey, P. S. J., Shiraiwa, M., Maher, B. A., Hatzopoulou, M., & Weichenthal, S. (2022). Predicting Spatial Variations in Multiple Measures of PM2.5Oxidative Potential and Magnetite Nanoparticles in Toronto and Montreal, Canada. Environmental Science and Technology, 56(11), 7256-7265. https://doi.org/10.1021/acs.est.1c05364

Vancouver

Ripley S, Minet L, Zalzal J, Godri Pollitt K, Gao D, Lakey PSJ et al. Predicting Spatial Variations in Multiple Measures of PM2.5Oxidative Potential and Magnetite Nanoparticles in Toronto and Montreal, Canada. Environmental Science and Technology. 2022 Jun 7;56(11):7256-7265. Epub 2021 Dec 29. doi: 10.1021/acs.est.1c05364

Author

Ripley, S. ; Minet, L. ; Zalzal, J. et al. / Predicting Spatial Variations in Multiple Measures of PM2.5Oxidative Potential and Magnetite Nanoparticles in Toronto and Montreal, Canada. In: Environmental Science and Technology. 2022 ; Vol. 56, No. 11. pp. 7256-7265.

Bibtex

@article{12abfa1cb83d45d499403a22f3bd5e43,
title = "Predicting Spatial Variations in Multiple Measures of PM2.5Oxidative Potential and Magnetite Nanoparticles in Toronto and Montreal, Canada",
abstract = "There is growing interest to move beyond fine particle mass concentrations (PM2.5) when evaluating the population health impacts of outdoor air pollution. However, few exposure models are currently available to support such analyses. In this study, we conducted large-scale monitoring campaigns across Montreal and Toronto, Canada during summer 2018 and winter 2019 and developed models to predict spatial variations in (1) the ability of PM2.5 to generate reactive oxygen species in the lung fluid (ROS), (2) PM2.5 oxidative potential based on the depletion of ascorbate (OPAA) and glutathione (OPGSH) in a cell-free assay, and (3) anhysteretic magnetic remanence (XARM) as an indicator of magnetite nanoparticles. We also examined how exposure to PM oxidative capacity metrics (ROS/OP) varied by socioeconomic status within each city. In Montreal, areas with higher material deprivation, indicating lower area-level average household income and employment, were exposed to PM2.5 characterized by higher ROS and OP. This relationship was not observed in Toronto. The developed models will be used in epidemiologic studies to assess the health effects of exposure to PM2.5 and iron-rich magnetic nanoparticles in Toronto and Montreal. ",
keywords = "fine particles, land use regression, oxidative potential, oxidative stress, particulate air pollution, Air pollution, Economics, Land use, Magnetite, Nanomagnetics, Particles (particulate matter), Developed model, Fine particle mass, Fine-particles, Land use regression, Mass concentration, Oxidative potential, Particulate air pollution, PM 2.5, Spatial variations, Toronto, Magnetite nanoparticles",
author = "S. Ripley and L. Minet and J. Zalzal and {Godri Pollitt}, K. and D. Gao and P.S.J. Lakey and M. Shiraiwa and B.A. Maher and M. Hatzopoulou and S. Weichenthal",
year = "2022",
month = jun,
day = "7",
doi = "10.1021/acs.est.1c05364",
language = "English",
volume = "56",
pages = "7256--7265",
journal = "Environmental Science and Technology",
issn = "0013-936X",
publisher = "American Chemical Society",
number = "11",

}

RIS

TY - JOUR

T1 - Predicting Spatial Variations in Multiple Measures of PM2.5Oxidative Potential and Magnetite Nanoparticles in Toronto and Montreal, Canada

AU - Ripley, S.

AU - Minet, L.

AU - Zalzal, J.

AU - Godri Pollitt, K.

AU - Gao, D.

AU - Lakey, P.S.J.

AU - Shiraiwa, M.

AU - Maher, B.A.

AU - Hatzopoulou, M.

AU - Weichenthal, S.

PY - 2022/6/7

Y1 - 2022/6/7

N2 - There is growing interest to move beyond fine particle mass concentrations (PM2.5) when evaluating the population health impacts of outdoor air pollution. However, few exposure models are currently available to support such analyses. In this study, we conducted large-scale monitoring campaigns across Montreal and Toronto, Canada during summer 2018 and winter 2019 and developed models to predict spatial variations in (1) the ability of PM2.5 to generate reactive oxygen species in the lung fluid (ROS), (2) PM2.5 oxidative potential based on the depletion of ascorbate (OPAA) and glutathione (OPGSH) in a cell-free assay, and (3) anhysteretic magnetic remanence (XARM) as an indicator of magnetite nanoparticles. We also examined how exposure to PM oxidative capacity metrics (ROS/OP) varied by socioeconomic status within each city. In Montreal, areas with higher material deprivation, indicating lower area-level average household income and employment, were exposed to PM2.5 characterized by higher ROS and OP. This relationship was not observed in Toronto. The developed models will be used in epidemiologic studies to assess the health effects of exposure to PM2.5 and iron-rich magnetic nanoparticles in Toronto and Montreal.

AB - There is growing interest to move beyond fine particle mass concentrations (PM2.5) when evaluating the population health impacts of outdoor air pollution. However, few exposure models are currently available to support such analyses. In this study, we conducted large-scale monitoring campaigns across Montreal and Toronto, Canada during summer 2018 and winter 2019 and developed models to predict spatial variations in (1) the ability of PM2.5 to generate reactive oxygen species in the lung fluid (ROS), (2) PM2.5 oxidative potential based on the depletion of ascorbate (OPAA) and glutathione (OPGSH) in a cell-free assay, and (3) anhysteretic magnetic remanence (XARM) as an indicator of magnetite nanoparticles. We also examined how exposure to PM oxidative capacity metrics (ROS/OP) varied by socioeconomic status within each city. In Montreal, areas with higher material deprivation, indicating lower area-level average household income and employment, were exposed to PM2.5 characterized by higher ROS and OP. This relationship was not observed in Toronto. The developed models will be used in epidemiologic studies to assess the health effects of exposure to PM2.5 and iron-rich magnetic nanoparticles in Toronto and Montreal.

KW - fine particles

KW - land use regression

KW - oxidative potential

KW - oxidative stress

KW - particulate air pollution

KW - Air pollution

KW - Economics

KW - Land use

KW - Magnetite

KW - Nanomagnetics

KW - Particles (particulate matter)

KW - Developed model

KW - Fine particle mass

KW - Fine-particles

KW - Land use regression

KW - Mass concentration

KW - Oxidative potential

KW - Particulate air pollution

KW - PM 2.5

KW - Spatial variations

KW - Toronto

KW - Magnetite nanoparticles

U2 - 10.1021/acs.est.1c05364

DO - 10.1021/acs.est.1c05364

M3 - Journal article

VL - 56

SP - 7256

EP - 7265

JO - Environmental Science and Technology

JF - Environmental Science and Technology

SN - 0013-936X

IS - 11

ER -