Transport of reactive X‐3B dye at the interface between cationic surfactant‐modified water‐quenched blast furnace slag and aqueous solution
Bibliographic record
Abstract
Abstract There is an emerging interest in the utilization of low‐cost industrial wastes in sustainable pollution control. This study investigated the use of water‐quenched blast furnace slag modified by cetyltrimethyl ammonium bromide as a low‐cost adsorbent for the removal of reactive brilliant red X‐3B from an aqueous solution. The results showed that the removal efficiency increased with an increasing slag dosage and an appropriate dosage for adsorption was 8 g/L. The adsorption efficiency of X‐3B onto modified slag decreased when the pH increased from 2 to 12. The amount of dye uptake per unit of modified slag also increased with an increase in ionic strength, contact time, temperature, and initial dye concentration. The Freundlich isotherm model showed a good fit to the equilibrium adsorption data. Thermodynamic studies suggested the spontaneous and endothermic nature of the adsorption process. The adsorption kinetics followed the pseudo‐second‐order model and the rate constant increased with increasing temperature. These results can help understand the migration patterns of dye molecules at a modified slag‐water interface. It also has important implications for developing wastewater treatment techniques using low‐cost adsorbents.
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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".