Study involving removal of azo dye Direct Orange 34 by adsorption in zeolite–clay system
Bibliographic record
Abstract
Recently, dyes have procured a wide range of application in the textile industry. These organic compounds possess toxic agents and act as water pollutants. Such dyes can be extracted by adsorption to prevent water pollution. The present work proposes removal of azo dye Direct Orange 34 from the aqueous solution using mixtures of sodalite zeolite (Si/Al ratio 2.5) and clay (vermiculite in 1.0, 2.5, 5.0 g). The methodology involves a system with different stages of separation, considering specified retention time (72, 48, 24, 12, 6 h) of adsorbate and dye concentrations (100, 50, 25, 10, 5 mg/L). The zeolite–vermiculite mixture has a high potential of dye removal due to extensive surface area and porosity with excellent cation exchange capacity conferring its adsorbent property. High concentrations (50 and 100 mg/L) and longer retention times than 48 h results in 50% removal of dyes, whereas a low concentration level (25, 10, 5 mg/L) increases the removal efficiency (74%). Henceforth, the experiment concluded that the zeolite–clay mixtures are capable of azo dye extraction.
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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 | 0.001 |
| 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 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".