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Record W2385350289

Preparation of flower-like Co_3O_4 microspheres for adsorption of basic fuchsin from waste water

2014· article· en· W2385350289 on OpenAlexaff
Zhou Lun-we

Bibliographic record

VenueJournal of Functional Biomaterials · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality Monitoring and Analysis
Canadian institutionsScience North
Fundersnot available
KeywordsAdsorptionMaterials scienceSpinelScanning electron microscopeMicrosphereFourier transform infrared spectroscopyChemical engineeringInfrared spectroscopyPhase (matter)Nuclear chemistryAnalytical Chemistry (journal)ChromatographyChemistryPhysical chemistryOrganic chemistryComposite materialMetallurgy
DOInot available

Abstract

fetched live from OpenAlex

In this paper,two kinds of flower-like Co3O4hollow microspheres were synthesized by solvothermal process.The scanning electron microscopy(SEM),X-ray diffraction(XRD),nitrogen adsorption instrument,UV-visible diffuse reflectance spectroscopy(UV-Vis),infrared spectrometer(FT-IR)were used to characterize the size,crystal structure,pore properties of the Co3O4hollow microspheres.The results showed that the two kinds of Co3O4 microspheres are micron-sized,cubic phase spinel structure,and the specific surface area were26.77and 2.51m2/g,respectively.The adsorption and regeneration properties of the two kinds of Co3O4 microspheres to basic fuchsin were compared.The study results showed that the two kinds of Co3O4 microspheres exhibited high adsorption capacities and excellent regeneration ability to basic fuchsin.The solid-phase adsorbate concentration at equilibrium was 2.7 mg/g.After recycling 6times,the adsorption efficiency was still above 60%.

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 score0.000
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 head0.019
GPT teacher head0.259
Teacher spread0.241 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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