Adsorption of Cu<sup>2+</sup> Ions from Aqueous Solutions on Nano-Titanate Engelhard Titanosilicate-2 (ETS-2)
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".