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Record W2409004663 · doi:10.1002/slct.201600164

Visible Light‐Induced Photoeletrochemical and Antimicrobial Properties of Hierarchical CuBi <sub>2</sub> O <sub>4</sub> by Facile Hydrothermal Synthesis

2016· article· en· W2409004663 on OpenAlexaff
Lu Zhu, Pradip Basnet, Steven R. Larson, Les Jones, Jane Y. Howe, Ralph A. Tripp, Yiping Zhao

Bibliographic record

VenueChemistrySelect · 2016
Typearticle
Languageen
FieldEnergy
TopicAdvanced Photocatalysis Techniques
Canadian institutionsHitachi (Canada)
Fundersnot available
KeywordsNanorodPhotocurrentHydrothermal circulationMaterials scienceVisible spectrumBand gapNanotechnologySemiconductorHydrothermal synthesisMethylene blueOptoelectronicsPhotocatalysisChemical engineeringChemistryCatalysisOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Narrow bandgap semiconductor CuBi 2 O 4 microstructures such as three dimensional hierarchical microspheres, micro‐flowers, one dimensional microrods and nanorods were fabricated through a facile hydrothermal synthesis approach by systematically changing the synthesis conditions. Their optical properties and photocatalytical performances under visible light illumination were characterized. The hierarchical micro‐flower shaped CuBi 2 O 4 sample showed a high photodecay rate of 0.114 ± 0.002 h −1 with 1 mg/ml CuBi 2 O 4 concentration for methylene blue (30 μM). Under the illumination of an AM 1.5G solar simulator, a 0.02 mA/cm 2 stable cathodic photocurrent density was observed at a low negative bias voltage (‐0.25 V vs (Ag/AgCl)). The micro‐flower shaped CuBi 2 O 4 sample also showed a high antibacterial effect against Escherichia coli , with ∼ 93 % bacteria reduction after 6 h illumination by a commercial white LED light (10 mW/cm 2 ). These results indicate that CuBi 2 O 4 can be a promising candidate for visible light driven energy conversion and antimicrobial applications.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 head0.008
GPT teacher head0.206
Teacher spread0.198 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations47
Published2016
Admission routes1
Has abstractyes

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