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Record W3203484700 · doi:10.1139/cjc-2021-0098

Photocatalytic degradation of Eosin B dye in aqueous solution by cadmium oxide nanoparticles

2021· article· en· W3203484700 on OpenAlexvenueno aff
Falak Naz, Khalid Saeed

Bibliographic record

VenueCanadian Journal of Chemistry · 2021
Typearticle
Languageen
FieldEnergy
TopicAdvanced Photocatalysis Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsCadmium oxideThermogravimetric analysisChemistryNuclear chemistryEosinNanoparticleAqueous solutionPhotocatalysisFourier transform infrared spectroscopyScanning electron microscopeInorganic chemistryCadmiumCatalysisChemical engineeringMaterials scienceNanotechnologyOrganic chemistryStaining

Abstract

fetched live from OpenAlex

Cadmium oxide (CdO) and potassium (K) doped CdO nanoparticles (NPs) were synthesized by the chemical co-precipitation method and were used as photocatalysts for the degradation of Eosin B dye. The X-ray diffraction results presented that the crystallite size of undoped CdO and K doped CdO NPs were 43.74 and 42.31 nm, respectively. The morphological study and percent composition of synthesized undoped CdO and K doped CdO NPs was done by scanning electron microscope and energy dispersive X-ray analysis. The formation of NPs was confirmed by Fourier transform infrared spectroscopy. The precursor decomposition to CdO after annealing at ∼500 °C was studied by thermogravimetric analysis. The undoped CdO and K doped CdO nanoparticles degraded about 80% and 90% of the dye, respectively, in 140 min. The maximum degradation efficiency of the dye was achieved at a pH of 4, dye initial concentration of 15 ppm, catalyst dose of 20 mg, and a temperature of 45 °C. The degradation efficiency observed for recovered undoped CdO and recovered doped CdO nanoparticles was found to be 63% and 77%, respectively.

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 score0.002

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 head0.009
GPT teacher head0.227
Teacher spread0.218 · 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

Citations5
Published2021
Admission routes1
Has abstractyes

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Same venueCanadian Journal of ChemistrySame topicAdvanced Photocatalysis TechniquesFrench-language works237,207