ArticleNature communications2025
Ozone pollution monitoring using a full-time hyperspectral tomography system for multiple air pollutants.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
7 authors.
Funding
Abstract
All-day monitoring of ozone and its precursors is crucial for understanding the chemical processes driving ozone pollution and improving urban air quality. Previously, the absence of cost-effective instruments with high temporal resolution, wide coverage, and fine spatial detail made comprehensive simultaneous observations of ozone and its precursors impossible, limiting our ability to study complex atmospheric chemical changes at night. Our study addresses this challenge by combining computed tomography and Differential optical absorption spectroscopy algorithms to achieve high-spatial-resolution, multi-constituent detection throughout the day. We tested multiple Light emitting diodes with varying wavelengths to enhance cost-effectiveness and incorporated high-precision tracking technology to enable accurate signal return from a drone-carried reflector array. Here, we show an affordable instrument that provides rapid response, precise spatial details, and extensive coverage for all-day detection of ozone and key precursors like formaldehyde and nitrogen dioxide, offering valuable insights into ozone pollution dynamics and aiding pollution source identification.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.