ArticleACS central science2018
Highly Viscous States Affect the Browning of Atmospheric Organic Particulate Matter.
Article in ACS central science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 93 citations in OpenAlex.
- Hygroscopicity and Cloud Condensation Nuclei Activity of Fresh and Aged Biomass Burning Particles.ACS ES&T air · 2026Article
- Dynamic Evolution of Mass and Physical Properties of Atmospheric Organic Aerosol Under Solar Irradiance.Environmental science & technology · 2026Article
- Photolytic Mass Loss of Secondary Organic Aerosol Derived from Photooxidation of Biomass Burning Furan Precursors.ACS ES&T air · 2025Article
- Complex Hygroscopic Behavior of Ambient Aerosol Particles Revealed by a Piezoelectric Technique.ACS earth & space chemistry · 2024Article
- Insect Infestation Increases Viscosity of Biogenic Secondary Organic Aerosol.ACS earth & space chemistry · 2023Article
- Sunlight can convert atmospheric aerosols into a glassy solid state and modify their environmental impacts.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Reactivity of aminophenols in forming nitrogen-containing brown carbon from iron-catalyzed reactions.Communications chemistry · 2022Article
- Coupled Air Quality and Boundary-Layer Meteorology in Western U.S. Basins during Winter: Design and Rationale for a Comprehensive Study.Bulletin of the American Meteorological Society · 2021Article
- Direct observation and assessment of phase states of ambient and lab-generated sub-micron particles upon humidification.RSC advances · 2021Article
- Resolving the mechanisms of hygroscopic growth and cloud condensation nuclei activity for organic particulate matter.Nature communications · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Initially transparent organic particulate matter (PM) can become shades of light-absorbing brown via atmospheric particle-phase chemical reactions. The production of nitrogen-containing compounds is one important pathway for browning. Semisolid or solid physical states of organic PM might, however, have sufficiently slow diffusion of reactant molecules to inhibit browning reactions. Herein, organic PM of secondary organic material (SOM) derived from toluene, a common SOM precursor in anthropogenically affected environments, was exposed to ammonia at different values of relative humidity (RH). The production of light-absorbing organonitrogen imines from ammonia exposure, detected by mass spectrometry and ultraviolet-visible spectrophotometry, was kinetically inhibited for RH < 20% for exposure times of 6 min to 24 h. By comparison, from 20% to 60% RH organonitrogen production took place, implying ammonia uptake and reaction. Correspondingly, the absorption index
Identifiers
What OpenQuestion holds
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.