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Record W2888101199 · doi:10.1002/aic.16388

Experimental analysis of a photoreactor packed <scp>w</scp>ith Pd‐BiVO<sub>4</sub>‐Coated glass beads

2018· article· en· W2888101199 on OpenAlexafffund
Xiangchao Meng, Zisheng Zhang

Bibliographic record

VenueAIChE Journal · 2018
Typearticle
Languageen
FieldEnergy
TopicAdvanced Photocatalysis Techniques
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCatalysisPhotocatalysisPhenolPacked bedSlurryChemical engineeringCoatingDegradation (telecommunications)Materials sciencePalladiumChemistryNanotechnologyComposite materialChromatographyOrganic chemistry

Abstract

fetched live from OpenAlex

A photoreactor packed with glass beads coated by palladium nanoparticles‐modified BiVO 4 was tested and analyzed in phenol degradation under UV–Visible light. The photocatalytic activity of Pd‐BiVO 4 under visible light is higher than TiO 2 under UV light, as we previously reported. In this work, we try to use the Pd‐BiVO 4 in a large scale by coating the glass beads with it, a potentially industrial‐scale use. For comparison, a flat‐plate reactor and a slurry reactor were also examined. The photocatalytic activity of Pd‐BiVO 4 in phenol degradation was found to be higher than that of TiO 2 in all systems (slurry, flat‐plate, and packed beads reactor [PBR]). Furthermore, PBR exhibited higher energy efficiency compared to the flat‐plate reactor in phenol oxidation. The superior performance of this reactor is due primarily to the highly exposed catalyst surface area, high mass transfer coefficient, and effective delivery of both photons and reactants to the catalyst surfaces. © 2018 American Institute of Chemical Engineers AIChE J , 65: 132–139, 2019

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.006
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.282
Teacher spread0.267 · 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.

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

Citations20
Published2018
Admission routes2
Has abstractyes

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