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Record W4223569575 · doi:10.1021/acs.est.2c00622

Singlet Oxygen and Mobile Hydroxyl Radicals Co-operating on Gas–Solid Catalytic Reaction Interfaces for Deeply Oxidizing NO<sub><i>x</i></sub>

2022· article· en· W4223569575 on OpenAlexaff
Qian Li, Jingjing Zhao, Huan Shang, Zhong Ma, Haiyan Cao, Yue Zhou, Guisheng Li, Dieqing Zhang, Hexing Li

Bibliographic record

VenueEnvironmental Science & Technology · 2022
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsUniversity of Waterloo
FundersShanghai Key Laboratory of Rare Earth Functional MaterialsShanghai Municipal People's GovernmentHigher Education Discipline Innovation ProjectMinistry of Science and Technology of the People's Republic of ChinaMinistry of Education of the People's Republic of ChinaNational Natural Science Foundation of China
KeywordsOxidizing agentRadicalSinglet oxygenCatalysisPhotochemistrySinglet stateChemistryOxygenInorganic chemistryOrganic chemistryPhysicsAtomic physics

Abstract

fetched live from OpenAlex

Learning from the important role of porphyrin-based chromophores in natural photosynthesis, a bionic photocatalytic system based on tetrakis (4-carboxyphenyl) porphyrin-coupled TiO 2 was designed for photo-induced treating low-concentration NO x indoor gas (550 parts per billion), achieving a high NO removal rate of 91% and a long stability under visible-light (λ ≥ 420 nm) irradiation. Besides the great contribution of the conventional • O 2 – reactive species, a synergic effect between a singlet oxygen ( 1 O 2 ) and mobile hydroxyl radicals ( • OH f ) was first illustrated for removing NO x indoor gas ( 1 O 2 + 2NO → 2NO 2, NO 2 + • OH f → HNO 3 ), inhibiting the production of the byproducts of NO 2 . This work is helpful for understanding the surface mechanism of photocatalytic NO x oxidation and provides a new perspective for the development of highly efficient air purification systems.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.007
GPT teacher head0.240
Teacher spread0.234 · 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 source (direct Gemma or distilled Codex), 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

Citations66
Published2022
Admission routes1
Has abstractyes

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