Distribution of U(VI) from Aqueous Solutions into Chloroform Solution of N,N’-Ethylenebis (4-butanoyl-2,4-dihydro-5-methyl-2-phenyl-3H-pyrazol-3-oneimine) Schiff Base
Bibliographic record
Abstract
The distribution of U(VI) from aqueous media into chloroform solution of N,N’-ethylenebis (4-butanoyl-2,4-dihydro-5-methyl-2-phenyl-3H-pyrazol-3-oneimine) (H2BuEtP) a Schiff base has been studied to determine the effect of buffer media, mineral acids, auxiliary complexing agents and 4-butanoyl-2,4-dihydro-5-methyl-2-phenyl-3H-pyrazol-3-one (HBuP) on the distribution behaviour. A 1:1 interaction was observed between U(VI) and the ligand during the extraction process and one mole of hydrogen ion was found to have been displaced in the reaction process. The study shows that pH½ of the extraction of U(VI) shifted from 4.88 ± 0.10 to 2.14 ± 0.10 for CHCl3 solutions of H2BuEtP and H2BuEtP-HBuP respectively. Extraction constants (Log Kex) -1.68 ± 0.12 and -0.72 ± 0.13 were determined respectively from the studies, indicating that addition of HBuP made the extraction process more efficient. Species extracted were characterized as complexes with suggested formulae UO2(HBuEtP)X and UO2(HBuEtP)X.HBuP where X is an anion. Graphical analysis shows also that UO2(HBuEtP)X.HBuP could be extracted as UO2(BuP)X.(H2BuEtP), indicating a potential synthetic method for metal complex species with position isomers by liquid-liquid extraction technique. Studies of extraction from auxiliary complexing agents support the existence of species proposed above leading to enhanced extraction of U(VI) from X = NO3-, SO42, CH3COO-,SCN-, Cl-, I- and F- media. Percentage extraction of U(VI) from mineral acids suggests that U(VI) extraction tend to increase with decrease in acid strength.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".