Selective Extraction and Recovery of Gold from Complex Thiosulfate Pregnant Leach Liquor Using Cyphos IL 101
Bibliographic record
Abstract
For the first time, an ionic liquid, Cyphos IL 101, has been evaluated for the selective gold recovery from thiosulfate leachate of sulfidic gold ore by solvent extraction. The pregnant leach solution at pH 9.5 contained 2.4 mg/L gold, 55.85 mg/L copper, and 0.26 mg/L silver in thiosulfate medium. The speciation of different metals was studied and selective gold extraction over copper and silver was achieved utilizing 0.1 mol/L Cyphos IL 101 at A/O = 5. Different ionic liquid carriers were tried to dilute Cyphos IL 101, and toluene was found the best choice. The number of extraction stages for gold was theoretically determined based on the McCabe Thiele diagram constructed for extraction and was confirmed at A/O = 4 and A/O = 5 followed by counter-current extraction. The different stripping agents were used and the gold stripping from the loaded organic solution was done using 5% thiourea in 1% HCl solution. The McCabe Thiele diagram for stripping was drawn and the number of theoretical stages needed to achieve an effective stripping was identified. A phase ratio of A/O = 1 needed three stripping stages, which were confirmed by the counter-current stripping experiment. Overall, the study showed attractive results and opens the area for further research in the future.
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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 | 0.000 | 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".