ArticleScience advances2026
Quantifying submicrometer atmospheric aerosol chemical composition using nanoelectromechanical Fourier transform infrared spectroscopy.
Article in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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Who cites it
1 citing paper in PubMed.
- Vibrational spectra of formic acid and its dimer: II. Towards identifying structural motifs in atmospheric organic clustering.Physical chemistry chemical physics : PCCP · 2026Article
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Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Atmospheric aerosols have major impacts on climate, air quality, and health, yet their chemical composition remains an analytical challenge due to their small size and low mass. We present an approach for aerosol chemical analysis combining nanoelectromechanical systems and Fourier transform infrared spectroscopy (NEMS-FTIR), offering simultaneous quantification of organic functional groups, ammonium sulfate, and equivalent black carbon with orders-of-magnitude lower detection limits over existing methods. The miniature, lightweight design allows for deployment on airborne platforms. Field demonstrations show that capturing distinct chemical compositions at the surface and aloft is possible, and they highlight the capacity of NEMS-FTIR for high-sensitivity, high-time-resolution aerosol analysis, revealing short-term variations in chemical composition previously inaccessible to conventional methods. NEMS-FTIR is therefore expected to advance the study of climate-relevant particles across different environments, from polluted urban to pristine polar. Beyond atmospheric science, this technique offers broader potential in nanoparticle analysis where mass constraints or time resolution is critical.
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Registered trials
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