Evaluation of methyl red removal potential of adsorbents made from Leucaena leucocephala leaf and bark materials
Bibliographic record
Abstract
The aim of this study was the investigation of how adsorbents made from Leucaena leucocephala (L. Leu) leaf and bark materials were effective in treating wastewater containing methyl red dye (MeReD). The functional groups in the phytochemical elements from the bark and leaves of L.Leu offer active surface sites and enable the adsorption mechanism. The investigations were done in batch mode. Contact time, adsorbent dose concentration, temperature, pH, and initial MeReD concentration were all examined as significant parameters impacting the sorption process. The study found that significant MeReD removal efficiency was achieved after 90 min of contact time, pH 4.0 units, 1.2 gm/L adsorbent dose concentration, 100 ppm initial MeReD quantity, and 30 oC temperature. The developed adsorbents were applied to samples gathered from dye companies in Hyderabad and Guntur. The extraction of MeReD (81.2% to 90.0%) from untreated wastewater contaminated with MeReD using developed adsorbents was very efficient.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".