Décoloration des eaux usées de levurerie par adsorption sur charbon
Bibliographic record
Abstract
The decolorization study of a yeast wastewater factory by adsorption on activated and raw charcoal showed that these adsorbents have great capacity to discolor and to adsorb the total organic matter (TOM), the chemical oxygen demand (COD), and the dissolved organic carbon (DOC). The solutions color characteristics have been followed by determining their dominant wavelengths issued from their correspondent trichromatic coefficients (X,Y,Z). The adsorbent size is an important parameter. The use of 30 g of charcoal sized 150250 µm, per liter of solution, leads to a total decolorization, and to a diminution of up to 50% of the treated solutions COD and DOC concentrations. To obtain the same efficiency, 130 g/L of 425- to 850-µm sized charcoal are needed. The study of the kinetics of the discoloration shows that the adsorbent instantly reaches a saturated state with a saturation rate almost equivalent to the rate of its diffusion in the liquid. It shows also that the maximum amounts of the adsorption of the COD and the DOC can be modelled by the Langmuir adsorption isotherm, and that they are respectively equal to 231 and 213 mg/g for the nonactivated charcoal (150250 µm), and 103 mg/g for the activated charcoal (425850 µm) regarding the COD, and that the Freundlich adsorption model fit well the COD and DOC adsorption for the nonactivated charcoal. Key words: decolorization, charcoal, adsorption, yeast, 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".