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Record W1965048538 · doi:10.1504/ijetm.2008.017864

Performance improvement of TiO<SUB align=right>2 supported on adsorbents for photocatalytic degradation of MEK in air

2008· article· en· W1965048538 on OpenAlex
Pavan Kumar Puttamraju, Madhumita B. Ray

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.

Bibliographic record

VenueInternational Journal of Environmental Technology and Management · 2008
Typearticle
Languageen
FieldEnergy
TopicTiO2 Photocatalysis and Solar Cells
Canadian institutionsWestern University
FundersNational University of Singapore
KeywordsAdsorptionPhotocatalysisPhotodegradationDegradation (telecommunications)ZeoliteMontmorilloniteCatalysisMaterials scienceTrichloroethyleneChemical engineeringSpecific surface areaNuclear chemistryChemistryOrganic chemistryComposite material

Abstract

fetched live from OpenAlex

Photocatalytic degradation of Methyl Ethyl Ketone (MEK) was carried out in gas phase using TiO2 supported on different adsorbents. Based on size and surface area, three different adsorbents, montmorillonite, β-zeolite and MCM-41 were tested. A fluidised bed annular photoreactor fitted with either 254 or 365 nm lamps was used for the photodegradation studies. The removal rates of MEK were higher for the catalysts supported on the adsorbent as compared to bare TiO2 (Degussa P25 and sol-gel TiO2) due to both improved adsorption and photocatalytic degradation. The photocatalytic activity of the supported TiO2 was maximum around 50 wt.% loading of TiO2. Among all the adsorbents tested, montmorillonite showed better removal rate than MCM-41 and β-zeolite. Some limited experiments were conducted with Trichloroethylene (TCE) to evaluate the effect of polarity of the organic compound on overall degradation using the supported catalysts.

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)0.000
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 score0.088
Threshold uncertainty score0.424

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.007
GPT teacher head0.207
Teacher spread0.201 · 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