Adsorption of Acid Blue 161 (AB 161) Dye from Water by Multi-walled Carbon Nanotubes
Bibliographic record
Abstract
The adsorption properties of acid blue 161 (AB 161) from aqueous solution onto multi-walled carbon nanotubes (MWCNTs) was studied as a function of time, pH and initial AB 161 concentration. The maximum adsorption yield (91.68%) was obtained at the conditions of pH 3.0, MWCNTs dosage of 0.1 g/L, contact time of 60 minutes, for initial AB 161 concentration of 50 mg/L and temperature of 25°C. Also, Langmuir, Freundlich and Temkin isotherms and three kinetic models were applied to fit the experimental data. Both Freundlich and Temkin models agree well with experimental data. The adsorption capacity of MWCNT was compared with activated carbon (AC). The results suggest that MWCNTs have good potential application in dye adsorption.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 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".