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Record W4415751883 · doi:10.1016/j.susmat.2025.e01745

Synergistic effect of Cu:Zn-In-Se2 QDs/Fe3O4 hybrid mesoporous films optimization and magnetic fields for solar-driven wastewater purification

2025· article· en· W4415751883 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

VenueSustainable materials and technologies · 2025
Typearticle
Languageen
FieldEnergy
TopicAdvanced Photocatalysis Techniques
Canadian institutionsDalhousie University
FundersMaterials Research Institute, Pennsylvania State UniversityNatural Sciences and Engineering Research Council of CanadaMitacsCanada Foundation for Innovation
KeywordsPhotocatalysisMesoporous materialNanorodLorentz forceHeterojunctionMagnetic separationEnvironmental remediationQuantum efficiencyDegradation (telecommunications)Nanocomposite

Abstract

fetched live from OpenAlex

Photocatalysis has garnered substantial interest as a cost-effective, eco-friendly method for degrading pollutants from pharmaceutical industries and agricultural sectors. However, the low efficiency of available photocatalysts due to fast recombination and slow separation of photogenerated carriers, demands the design of new photocatalysts that can contribute to solving the current environmental remediation challenges. In this work, we have developed for the first time novel hybrid photocatalysts of colloidal eco-friendly quantum dots (QDs) Cu:Zn-In-Se 2 QDs decorated on one-dimensional (1D) Fe 3 O 4 nanorods mesoporous film on conducting glass substrate and tested the photocatalytic degradation of methylene blue (MB) in the presence of external magnetic field (MF). By optimizing hybrid heterostructure photocatalyst and external MF, an excellent photocatalytic efficiency of 99.96 % photocatalytic removal of MB was achieved, which is 49 % higher than the control photocatalyst Fe 3 O 4 (67.01 %). The significant increase in photocatalytic efficiency attributed to the synergistic effect of broad light absorption of Cu:Zn-In-Se 2 QDs∕Fe 3 O 4 and efficient carrier dynamics assisted with Lorentz force in the presence of external MF. Lorentz force associated with external MF leads to the efficient separation and transport of the photogenerated carrier in hybrid Cu:Zn-In-Se 2 QDs∕Fe 3 O 4 photocatalyst confirmed by time-resolved spectroscopy. Additionally, this novel hybrid photocatalyst was employed as a thin film conducting glass, which demands less materials compared to photocatalysts used in powder form, and has an excellent reusable efficiency after four cycles, demonstrating superior stability and, thus, a promising photocatalyst for real-time wastewater remediation technology. • Developed Cu:Zn-In-Se₂ QDs/Fe₃O₄ nanorod mesoporous films hybrid photocatalyst. • Achieved 99.96 % MB removal under external magnetic field. • External magnetic field enhances charge separation/transport via Lorentz force. • Time-resolved spectroscopy confirms improved carrier dynamics in hybrid film. • Thin film design uses less material and offers high reusability.

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 score0.171
Threshold uncertainty score0.703

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.232
Teacher spread0.228 · 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