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Record W4407874132 · doi:10.1016/j.ceja.2025.100721

Simultaneous removal of multiple organic micropollutants via UV-visible light driven BiVO4/TiO2-GO photoanode: Experimental and CFD study

2025· article· en· W4407874132 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.

Bibliographic record

VenueChemical Engineering Journal Advances · 2025
Typearticle
Languageen
FieldEnergy
TopicAdvanced Photocatalysis Techniques
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsComputational fluid dynamicsVisible spectrumMaterials scienceOptoelectronicsChemical engineeringEnvironmental scienceNanotechnologyPhysicsEngineeringMechanics

Abstract

fetched live from OpenAlex

• BiVO 4 /TiO 2 -GO photoanode achieves 50 % higher OMP removal vs pristine BiVO 4 . • CFD model predicts 80 % simultaneous removal of BTA, CBZ, CAF and DIC within 25 mins. • A light intensity of 400 W m −2 optimizes reactor performance for OMP removal. • Turbulent flow enhances OMP diffusion, accelerating removal kinetics. • Ultrasonic spray pyrolysis enables successful fabrication of heterojunction photoanodes. In this study, we investigated the use of BiVO 4 /TiO 2 -GO heterojunction photoanode in a PEC based AOP to simultaneously remove four organic micropollutants (OMPs): benzotriazole (BTA), carbamazepine (CBZ), caffeine (CAF) and diclofenac (DIC) from demineralized water. Each OMP had an initial concentration of 40 µg L −1 . Ultrasonic spray pyrolysis (USP) was used to deposit BiVO 4 and TiO 2 -GO layers on fluorine doped tin oxide (FTO) electrodes. The heterojunction photoanode at an applied voltage of 1 V (vs Ag/AgCl) achieved simultaneous removal efficiencies of 100 % for DIC, 54 % for CBZ, 36 % for BTA and 33 % for BTA under simulated solar light. Compared to the pristine BiVO 4 photoanode, the heterojunction photoanode showed 50 % higher removal efficiency for BTA, CBZ and CAF. The reaction kinetics revealed that the first order rate coefficient for DIC removal was about nine times higher than that of CBZ and fifteen times higher than those of BTA and CAF. To assess scalability, a computational fluid dynamics (CFD) model incorporating the experimentally determined reaction kinetics was developed for a conceptually designed up-scaled PEC reactor. The model analyzed the effect of reactor design and fluid flow conditions on the removal of OMPs. Under turbulent flow conditions, enhanced removal efficiency was observed for all four OMPs, which was attributed to the effects of eddy diffusion and convective mixing. The optimized reactor design under turbulent flow condition achieved an 80 % removal efficiency for all four OMPs within 25 min under a light intensity of 400 W m −2 . The findings highlight the potential of BiVO 4 /TiO 2 -GO heterojunction photoanodes for efficient and scalable PEC water treatment, showing a promising approach for the elimination of OMPs from wastewater.

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 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 score0.008
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.004
GPT teacher head0.246
Teacher spread0.242 · 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