Evaluation of Biological Treatments for the Adsorption of Phenol from Polluted Waters
Why this work is in the frame
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Bibliographic record
Abstract
In this study, we describe the efficiency of three biological techniques (using Pseudomonas aeruginosa) for the removal of phenol from polluted water. We explore the possibilities of elimination with free bacteria present in solution, fixed bacteria on granular activated carbon (GAC) and immobilized bacteria in calcium alginate beads. Our study results show that for all the three methods the removal of phenol from solution (300 mg l −1 ) is complete. The kinetic constants for phenol removal are equivalent for two methods, namely, bacteria fixed on the GAC and those immobilized in calcium alginate beads (≈0.2 h −1 ), while for the free bacteria in solution, it is about half of this value. We also report how the biomass production in solution depends on the method applied. The concentration seems to act as a regulator for the amount of bacteria released in solution.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it