An experimental study on reactive filter bed for aluminium removal from water
Bibliographic record
Abstract
Abstract In this study, batch and column experiments were conducted to adsorb Aluminium (Al 3+ ) from aqueous solution. The study examined the possibility of using proposed reactive filter bed media (packed with hematite or hematite sand mixture) for contaminated water treatment. Batch experiments were carried out at pH 7 ± 0.5 and initial Al 3+ concentration of 1.5 mg/L. Adsorption equilibrium was achieved in more than 2 hours for hematite and 1 hour for hematite coated sand while conducting batch experiment and the maximum adsorption q m was found to be 3.38 mg/g for hematite mixture sand. From column experiment, the maximum Al adsorption capacity from four different columns was calculated to be approximately 2.2 mg/g and it was found in columns 1 and 3 packed with hematite sand mixture particles. The results indicated that both electrostatic attraction and chemical sorption could be the mechanism for Al 3+ removal by hematite sand mixture particles from aqueous solution. Redox values (250 to 300 mV) inside column 3 suggested oxidizing condition during column operation. The continuous changes in redox potential ( E h ) and pH indicated the occurrence of redox reactions between Al 3+ and reactive media under the prevailing experimental conditions.
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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".