A comparison of fine particulate matter (PM<sub>2.5</sub>) in vivo exposure studies incorporating chemical analysis

Sidwell, Allie; Smith, Samuel Cole; Roper, Courtney

doi:10.1080/10937404.2022.2142345

Cited by 17 publications

(1 citation statement)

References 102 publications

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“…Furthermore, in a study by Daellenbach et al (2020), it was observed that the main sources of particulate mass (PM10, particles smaller than 10 µm) and particle oxidative potential (OP) are not the same in different locations across Europe. Also, PM2.5 toxicity is suggested to be considerably dependent on the emission source and composition (e.g., Jia et al 2017, Park et al 2018, Sidwell et al 2022. All these findings highlight the need for other methods, metrics, and point-of-views along with the particle mass for regulating and monitoring the particulate pollution to better tackle the adverse health effects of air pollution.…”

Section: Introductionmentioning

confidence: 95%

Comparison of size distribution and electrical particle sensor measurement methods for particle lung deposited surface area (LDSA^al) in ambient measurements with varying conditions

Lepistö,

Lintusaari,

Salo

et al. 2024

Preprint

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Abstract. During recent years it has become evident that additional metrics along the particle mass concentration together with dense air quality monitoring networks within cities are needed to understand the most efficient ways to tackle the health burden of particulate pollution. Particle lung deposited surface area (LDSAal) is a metric to estimate particle exposure in the lung alveoli, and it has gained interest as a parameter for air quality monitoring as it is relatively easy and cost-efficient to measure with electrical particle sensors. Also, various studies have indicated its potential as a health-relevant metric. In addition to the electrical particle sensors, LDSAal can be measured with various size distribution methods. However, different LDSAal measurement methods have fundamental differences in their operation principles e.g., related to the measurement size ranges, size-classification or conversion from the originally measured quantity into LDSAal. It is not well understood how these differences affect the accuracy of the measurement in ambient conditions where especially the particle effective density and hygroscopicity can considerably change the particle lung deposition efficiencies. In this study, the electrical particle sensor measurement (Partector) and two size distribution approaches (ELPI+, DMPS/SMPS) were compared in road traffic environments with different environmental conditions in Helsinki and Prague. The results were compared by utilising general assumptions of LDSAal measurement (spherical hydrophobic particles with the standard density) and by evaluating the effects of the particle effective density and hygroscopicity. Additionally, the Partector and ELPI+ were compared in various urban environments near road traffic, airport, river traffic and residential wood combustion. The results show that comparison of different LDSAal measurement methods can be complicated in ambient measurements. The challenges were especially related to the estimated lung deposition of accumulation mode particles roughly larger than 200–400 nm. On the other hand, the results suggest that the differences between the methods are reasonably low when considering only ultrafine and soot particles, highlighting the suitability of LDSAal as a monitored metric when estimating spatial differences in the particulate pollution within cities.

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Section: Introductionmentioning

confidence: 95%

Comparison of size distribution and electrical particle sensor measurement methods for particle lung deposited surface area (LDSA^al) in ambient measurements with varying conditions

Lepistö,

Lintusaari,

Salo

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

Real-world PM2.5 exposure induces prostaglandin disruption and low-density lipoprotein oxidation, exacerbating atherogenesis in ApoE−/− mice

Chai,

Ngan,

Song

et al. 2024

Chinese Chemical Letters

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Recent progress on phytoremediation of urban air pollution

Duan,

Gu,

Lam

et al. 2024

Chemosphere

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A comparison of fine particulate matter (PM_2.5) in vivo exposure studies incorporating chemical analysis

Cited by 17 publications

References 102 publications

Comparison of size distribution and electrical particle sensor measurement methods for particle lung deposited surface area (LDSA^al) in ambient measurements with varying conditions

Comparison of size distribution and electrical particle sensor measurement methods for particle lung deposited surface area (LDSA^al) in ambient measurements with varying conditions

Real-world PM2.5 exposure induces prostaglandin disruption and low-density lipoprotein oxidation, exacerbating atherogenesis in ApoE−/− mice

Recent progress on phytoremediation of urban air pollution

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A comparison of fine particulate matter (PM2.5) in vivo exposure studies incorporating chemical analysis

Cited by 17 publications

References 102 publications

Comparison of size distribution and electrical particle sensor measurement methods for particle lung deposited surface area (LDSAal) in ambient measurements with varying conditions

Comparison of size distribution and electrical particle sensor measurement methods for particle lung deposited surface area (LDSAal) in ambient measurements with varying conditions

Real-world PM2.5 exposure induces prostaglandin disruption and low-density lipoprotein oxidation, exacerbating atherogenesis in ApoE−/− mice

Recent progress on phytoremediation of urban air pollution

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Product

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A comparison of fine particulate matter (PM_2.5) in vivo exposure studies incorporating chemical analysis

Comparison of size distribution and electrical particle sensor measurement methods for particle lung deposited surface area (LDSA^al) in ambient measurements with varying conditions

Comparison of size distribution and electrical particle sensor measurement methods for particle lung deposited surface area (LDSA^al) in ambient measurements with varying conditions