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Record W2006126375 · doi:10.1021/ie0102551

Photocatalytic Conversion of Organic Pollutants Extinction Coefficients and Quantum Efficiencies

2001· article· en· W2006126375 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2001
Typearticle
Languageen
FieldEnergy
TopicTiO2 Photocatalysis and Solar Cells
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of CanadaConsejo Nacional de Ciencia y Tecnología
KeywordsPhotodegradationPhotocatalysisExtinction (optical mineralogy)PhenolPollutantWavelengthRadiationAqueous solutionReaction rateCatalysisQuantum efficiencySlurryPhotonChemistryPhotochemistryMaterials scienceEnvironmental scienceOpticsMineralogyOptoelectronicsPhysicsEnvironmental engineeringOrganic chemistry

Abstract

fetched live from OpenAlex

This study describes an experimental method for the evaluation of the rate of absorbed photons in an aqueous TiO 2 slurry reactor. This method and the use of a macroscopic radiation balance allow for the estimation of extinction coefficients of the dispersed medium. With this end, the effects of the radiation wavelength on the extinction coefficients of TiO 2 dispersions are established. The photoconversion of phenol as a model pollutant allows the rate of photodegradation and the effect of the catalyst concentration on this rate to be assessed. In addition, the effects of several other operating parameters on both the phenol photodegradation and the quantum efficiency are studied in detail. It is shown that there is good agreement between parameters estimated using the proposed reaction rate model and data from photoconversion and light transmission experiments.

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.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.022
Threshold uncertainty score0.707

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.056
GPT teacher head0.288
Teacher spread0.232 · 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