Optimisation of adsorption efficiency for reactive red 198 removal from wastewater over TiO<sub>2</sub>using response surface methodology
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Bibliographic record
Abstract
Abstract Adsorption over TiO 2 is used efficiently for reactive dyes removal from wastewater. This paper investigates adsorption efficiency for Reactive Red 198 (RR198) removal over TiO 2 adsorbent using response surface methodology. The main process parameters considered for optimisation were pH, adsorbent dose, and adsorption time. The experimental scheme was designed according to central composite rotatable design and second order regression model was developed. For regression analysis and ANOVA study, software MINITAB 15 was used. The optimum pH, TiO 2 dose, and time were found to be 4.3, 4.3 g L −1 , and 32.42 min, respectively. Complete removal was observed. Pareto analysis established pH the most influential parameter.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 it