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Record W4413064213 · doi:10.1021/acsestair.5c00160

Dynamic Chemical Exposure from Face Masks Induced by Ambient Ozone Oxidation Chemistry

2025· article· en· W4413064213 on OpenAlexafffund
Qifan Liu, Runzeng Liu, Scott A. Mabury, Jonathan P. D. Abbatt

Bibliographic record

VenueACS ES&T Air · 2025
Typearticle
Languageen
FieldMedicine
TopicInfection Control and Ventilation
Canadian institutionsUniversity of Toronto
FundersBeijing National Laboratory for Molecular SciencesNational Key Research and Development Program of ChinaNatural Science Foundation of Shandong ProvinceNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of ChinaAlfred P. Sloan Foundation
KeywordsOzoneFace masksFace (sociological concept)ChemistryEnvironmental chemistryCoronavirus disease 2019 (COVID-19)Organic chemistryPhilosophyMedicine

Abstract

fetched live from OpenAlex

The widespread use of face masks on a global scale calls for a comprehensive evaluation of the associated chemical exposure. However, researchers mainly focus on the chemicals directly emitted from masks, with no consideration given to their possible transformation chemistry and the associated potential health impacts during the use of masks. Here, via mask wearing experiments (by volunteers), ambient air-mask interaction experiments, and ozone-mask reaction experiments, we find that the chemical exposure will be substantially changed during mask wearing due to gas-mask multiphase reactions with ambient ozone. In particular, this ozone oxidation chemistry leads to the formation of gaseous carbonyl compounds and a surface-bound organophosphate ester tris(2,4-di- tert -butylphenyl) phosphate (TDtBPP, an emerging contaminant), with concentrations up to five times higher than those present in unused masks. While exposure assessments indicate that the health risks posed by gaseous carbonyl compounds and surface-bound organophosphate esters are likely to be minor, the present work emphasizes the importance of considering the dynamic evolution of mask-related chemicals when evaluating the overall chemical exposure related to face mask usage.

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 score0.068
Threshold uncertainty score0.477

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 head0.006
GPT teacher head0.253
Teacher spread0.246 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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