Removal of Cr (VI) from aqueous solutions by titanate nanomaterials synthesized via hydrothermal method
Bibliographic record
Abstract
Abstract Titanate nanomaterials (TNs) were synthesized via a simple hydrothermal method. The physical‐chemical properties of the as‐prepared TNs, such as morphology, structure, surface area, and chemical composition, were characterized by XRD, SEM, and BET. The absorption capability and adsorptive mechanism of Cr (VI) in aqueous solutions were tested in the static system. The results showed that the TNs prepared with reaction time of 24 h were in pure monoclinic phase which aggregated mutually to form a unique layered structure. TNs were considered excellent adsorbents to Cr (VI). When pH = 1, the adsorption capacity was up to 83.91 mg/g. The adsorption kinetics of Cr (VI) followed the pseudo‐first order model. The equilibrium adsorption time of TNs was 80 min. The Langmuir isotherm model fitted the equilibrium data best. The adsorption of Cr (VI) onto TNs was an exothermic process, and the adsorption process was mainly composed of electrostatic attraction. The structure of TNs basically remained unchanged after adsorption.
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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) | 0.000 | 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".