Removal of Organic Matter and Etodolac from Pharmaceutical Industry Wastewater by PAC Adsorption
Bibliographic record
Abstract
The removal of organic matter and etodolac (an anti-inflammatory pharmaceutical) from a real process wastewater by using powdered activated carbon (PAC) adsorption before and after Fenton oxidation has been studied. The wastewater sample is collected from the final stage of chemical synthesis of a pharmaceutical (etodolac). Fenton oxidation resulted with decrease in chemical oxygen demand (84% removal) and etodolac concentration was reduced to 0.7 mg L-1. Optimum adsorption equilibrium conditions were found as t = 16 hours, and m = 10 g L-1. The Freundlich model showed the best fit for the adsorption of both wastewater with R2 values of 0.89 and 0.99. Lower pseudo-second-order rate constant (k2) (0.067 < 2.62) obtained from the adsorption of raw wastewater with higher organic matter concentration confirms the chemisorption of the adsorbates onto the PAC. Pore surface mass diffusion with R2 value of 0.92 was found as rate-controlling step for adsorption process with Fenton pre-treated wastewater.
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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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.040 | 0.005 |
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; both teacher heads agree on what is shown here.
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".