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Record W4391990975 · doi:10.1021/acsestair.3c00063

Light Exposure of Wood Smoke Aerosol: Connecting Optical Properties, Oxidation, Radical Formation, and Chemical Composition

2024· article· en· W4391990975 on OpenAlexafffund
Carolyn Liu-Kang, Anna Sokolova, Yufeng Gong, William D. Fahy, Hui Peng, Jonathan P. D. Abbatt

Bibliographic record

VenueACS ES&T Air · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric chemistry and aerosols
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPhotochemistryFurfuryl alcoholRadicalChemistryAqueous solutionSinglet oxygenAbsorption (acoustics)IrradiationElectron paramagnetic resonanceAerosolOxygenMaterials scienceOrganic chemistryNuclear magnetic resonanceCatalysis

Abstract

fetched live from OpenAlex

Biomass burning brown carbon (BrC) aerosol affects the climate by absorbing light in the visible and UV wavelengths, with daytime photochemistry changing its optical properties. Here, aging by UVB irradiation of BrC in both the aqueous and particle states was conducted to evaluate the conditions and mechanism required to change the ability of BrC to absorb light with an emphasis on the role of radicals and oxidation. Photoreactions enhanced visible light absorption with O 2 present in both the aqueous phase and particulate states. Deoxygenated samples did not show this enhancement, indicating the importance of oxidation in this aging mechanism. Using furfuryl alcohol as a singlet oxygen ( 1 O 2 ) scavenger, it was shown that 1 O 2 contributes to roughly one third of the visible absorption increase in the aqueous phase. Conversely, hydroxyl radicals (OH) were demonstrated to have no impact. Carbon-centered radicals, as measured by electron paramagnetic resonance in the particle state, were formed when O 2 was present but not for deoxygenated irradiation. Overall, the dependence on O 2 indicates that highly viscous BrC particles, as will be present in the atmosphere at low temperatures and/or low relative humidity, may not experience the same degree of photochemical change as more liquid-like particles.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.349

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.201
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations11
Published2024
Admission routes2
Has abstractyes

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