Elimination of cationic azodye from aqueous media using doped polyaniline (PANI): adsorption optimization and modeling
Bibliographic record
Abstract
An adsorbent doped polyaniline (PANI) has been explored for the elimination of a cationic azodye, basic red 46 (BR-46), from textile effluent. Essential factors from batch mode have been studied to investigate their effect on the removal of BR-46. The investigated data have been applied to two prevalent adsorption isothermal models (i.e., Langmuir and Freundlich). In addition to the coefficients of determination, six different statistical error functions have been used to identify the most appropriate model for the existing process. The Langmuir model has been shown to be the best adsorption isotherm with minimum error values and a high coefficient of determination value (R 2 > 0.999). The maximum monolayer adsorption capacity observed was 1.83 × 10 −4 mol g −1 at 50 °C. Thermodynamic parameters of Gibb’s free energy, enthalpy, and entropy were found to be –30.06 KJ mol −1 , 374 J mol −1 , and 97.25 J mol −1 K −1 , respectively. The positive values of enthalpy and entropy indicate the process to be endothermic. The amount of the dye adsorbed increased from 1.02 to 5.42 × 10 −5 g in moving from 30 to 50 °C. The measured energy of activation was 17.467 kJ mol −1 . The maximum percent removal of BR-46 from wastewater has been 93% at pH 8.
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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) | 0.000 | 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) | 0.000 | 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".