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Record W2768817960 · doi:10.1166/jnn.2018.14698

Adsorption of Cu<sup>2+</sup> Ions from Aqueous Solutions on Nano-Titanate Engelhard Titanosilicate-2 (ETS-2)

2017· article· en· W2768817960 on OpenAlex
Sabereh Rezaei, Steven M. Kuznicki

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

VenueJournal of Nanoscience and Nanotechnology · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicChemical Synthesis and Characterization
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSorbentAqueous solutionAdsorptionMaterials scienceX-ray photoelectron spectroscopyThermogravimetric analysisTitanateMetal ions in aqueous solutionIon exchangeNuclear chemistryInorganic chemistryMetalIonChemical engineeringPhysical chemistryChemistryOrganic chemistryCeramicComposite material

Abstract

fetched live from OpenAlex

Adsorption of Cu2+ ions from aqueous solutions is an increasingly important problem. Nano-titanate ETS-2 (Engelhard Titanosilicate-2) was studied for Cu2+ removal from aqueous solutions through the batch technique at room temperature. Structural and chemical properties of both ETS-2 sorbent and aqueous solution were studied by different characterization tests such as Thermogravimetric Analysis, Energy Dispersive X-ray spectroscopy, X-ray Photoelectron Spectroscopy and Inductively Coupled Plasma measuremen. Copper adsorption capacity was found to increase upon raising the contact time or the pH of the solution. The maximum uptake of Cu2+ (99.9%) by ETS-2 occurred at pH of 6.7 and 30 min of contact time. The Cu2+ removal capacity of ETS-2 was found to be 53.58 mg/g at pH = 5.16, which improved to 54.02 mg/g, when rising the contact time to 90 min. Chemical properties of ETS-2 indicated that ETS-2 surface possessed sodium exchange sites making it a favourable sorbent for metal exchange.

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 score0.058
Threshold uncertainty score0.397

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.017
GPT teacher head0.232
Teacher spread0.216 · 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