Adsorption des métaux lourds contenus dans l'acide phosphorique industriel par une bentonite algérienne activée. modélisation
Bibliographic record
Abstract
Dans le present travail, nous nous interessons a la caracterisation physico-chimique de l'acide phosphorique pretraite produit a l'unite des engrais phosphates d'Annaba (Est-Algerie) et a l'activation de la bentonite brute, utilisee pour l'elimination des metaux lourds contenus dans l'acide phosphorique pretraite. Le pretraitement de l'acide phosphorique industriel est realise au moyen de charbon actif pour eliminer les matieres organiques dissoutes successibles de gener la recuperation des metaux lourds. L'activation de la bentonite est effectuee par voie chimique, en utilisant l'acide sulfurique H 2 SO 4 . Deux parametres importants ont ete examines, la concentration de l'acide et la temperature. Des tests d'adsorption de zinc (II), de cadmium (II) et de chrome (III), contenus dans H 3 PO 4 5,5 M pretraite (30% P 2 O s ), ont ete realises dans differentes conditions de temperature, de pH et de quantites de bentonite, dans le but de developper un procede de fixation a l'echelle du laboratoire. Une modelisation du procede a ete egalement realisee. L'application du modele, defini dans le domaine experimental 1,25≤pH ≤2,50; 0,50g≤ masse de bentonite ≤2,5 g; 20°C ≤ T ≤ 70°C, a permis de donner un rendement moyen de 88 % pour l'adsorption du zinc (II) et 89 % pour le cadmium (II) et le chrome (III).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".