High time resolution quantification of PM oxidative potential at a Central London roadside supersite.

Environ Int

MRC Centre for Environment and Health, Environmental Research Group, Imperial College London, 86 Wood Lane, London W12 0BZ, UK; NIHR HPRU in Environmental Exposures and Health, Imperial College London, UK.

Published: November 2024

AI Article Synopsis

  • The oxidative potential (OP) of airborne particulate matter (PM) is important for assessing health risks, but traditional methods of measuring OP have slow time resolution and may miss reactive components.
  • A new instrument has been developed that allows for continuous, high-resolution (5-minute intervals) measurement of OP, providing more accurate data compared to traditional filter-based techniques.
  • Conducted at the Marylebone Road Air Quality Monitoring Station in London, the study showed that high-resolution OP data reveals real-time changes influenced by factors like wind conditions and various PM sources, enhancing our understanding of PM's health implications.

Article Abstract

The oxidative potential (OP) of airborne particulate matter (PM) is gaining increasing attention as a health-relevant metric to describe the capacity of PM to promote oxidative stress and cause adverse health effects. To date, most OP studies use filter-based approaches to sample PM and quantify OP, which have relatively poor time resolution (∼24 h) and underestimate the contribution of reactive components to OP due to the time delay between sample collection and analysis. To address this important limitation, we have developed a novel instrument which uses a direct-to-reagent sampling approach, providing robust, continuous, high time resolution (5 min) OP quantification, hence overcoming analytical limitations of filter-based techniques. In this study, we deployed this instrument in the Marylebone Road Air Quality Monitoring Station in London, UK, alongside a broad suite of high time resolution PM composition measurements for three months continuous measurement during Summer 2023. High time resolution OP quantification reveals dynamic changes in volume-normalised (OP) and mass normalised (OP) OP evolving over ∼hourly timescales, observed at an average PM mass concentration of 7.1 ± 4.2 µg m, below the WHO interim 4 target of 10 µg m. In addition, high time resolution data facilitates directional analysis, allowing us to determine the influence of wind speed and wind direction on OP, and the identification of PM chemical components and sources which drive dynamic changes in OP; this includes traffic emissions, as well as emissions from the London Underground into the ambient airshed. These results demonstrate the capacity of high time resolution measurements to provide new insights into the temporal evolution of OP, as well as the composition and emission sources which drive OP, developing our understanding of the characteristics of PM which may promote adverse health impacts.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.envint.2024.109102DOI Listing

Publication Analysis

Top Keywords

time resolution
28
high time
24
resolution quantification
8
oxidative potential
8
adverse health
8
dynamic changes
8
sources drive
8
resolution
7
time
7
high
6

Similar Publications

Gluing is a critical step in aircraft sealing assembly, with glue profile inspection serving as the final quality assurance measure to ensure consistency and accuracy of the sealant coating, allowing timely detection and correction of defects to maintain assembly integrity and safety. Currently, existing glue inspection systems are limited to basic inspection capabilities, lack result digitization, and exhibit low efficiency. This paper proposes a 3D inspection technology for sealant coating quality based on line-structured light, enabling automated and high-precision inspection of sealant thickness, sealant width, positional accuracy, and overlap joint sealant contour through geometric computation.

View Article and Find Full Text PDF

In the Drosophila brain, neuronal diversity originates from approximately 100 neural stem cells, each dividing asymmetrically. Precise mapping of cell lineages at the single-cell resolution is crucial for understanding the mechanisms that direct neuronal specification. However, existing methods for high-resolution lineage tracing are notably time-consuming and labor-intensive.

View Article and Find Full Text PDF

The CRISPR-activated repair lineage tracing (CARLIN) mouse line uses DNA barcoding to enable high-resolution tracing of cell lineages in vivo (Bowling et al, Cell 181, 1410-1422.e27, 2020). CARLIN mice contain expressed barcodes that allow simultaneous interrogation of lineage and gene expression information from single cells.

View Article and Find Full Text PDF

Lineage tracing based on modern live imaging approaches enables to visualize, reconstruct, and analyze the developmental history, fate, and dynamic behaviors of cells in vivo in a direct, comprehensive, and quantitative manner. Light-sheet fluorescence microscopy (LSFM) has greatly boosted lineage tracing efforts, because fluorescently labeled specimens can be imaged in their entirety, over long periods of time, with high spatiotemporal resolution and minimal photodamage. In addition, an increasing arsenal of commercial and open-source software solutions for cell and nuclei segmentation and tracking can be employed to convert data from pixel-based to object-based representations, and to reconstruct the lineages of cells in their native context as they organize in tissues, organs, and whole organisms.

View Article and Find Full Text PDF

Dynamic surface-enhanced Raman spectroscopy (SERS) is nowadays one of the most interesting applications of SERS, in particular for single molecule studies. In fact, it enables the study of real-time processes at the molecular level. This review summarizes the latest developments in dynamic SERS techniques and their applications, focusing on new instrumentation, data analysis methods, temporal resolution and sensitivity improvements, and novel substrates.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!