Malachite green adsorption by Oued Sebou sediment: optimization and desirability analysis
Bibliographic record
Abstract
Dye pollution represents an important portion of the pollutants in industrial waste water. Sediment from the Sebou River (Morocco) was utilised in this investigation to adsorb malachite green (MG) in aqueous solution. The optimisation of parameters associated with adsorption was performed by conducting batch adsorption studies and utilising the response surface approach. The adsorption process was accurately described by both the Langmuir isotherm model and the pseudo-second-order kinetic model, and the maximum capacity for adsorption was determined to be 5.98 mg/g. In addition, the adsorption rate was effectively determined by intraparticle diffusion. The thermodynamic parameters determined in the study revealed that the adsorption of MG dye by the sediment was unspontaneous and endothermic in nature. The regeneration of the sediment in three cycles following adsorption was confirmed. The adsorption process of MG dye onto the sediment was found to be driven by two types of interactions – electrostatic and hydrogen (H) bonding. These results indicate that the sediment has the potential to be an effective adsorbent for removing dyestuffs from contaminated industrial effluent. Moreover, the ready availability of the sediment in the area further enhances its suitability for this purpose.
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How this classification was reachedexpand
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 | 0.001 |
| 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 teacher head, 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".