Eco-Friendly Processing of Sulfidic Polymetallic Concentrates Using Biohydrometallurgy
Bibliographic record
Abstract
Pyrometallurgical processing of sulfidic ores for recovery of non-ferrous metals is a traditional method. It requires the use of high-grade concentrates with high metal content, which are usually produced by flotation. A delay in exploration and exploitation of new deposits resulted in the involvement of lower-grade ores and ores with complex compound composition in the treatment. The development of methods for the processing of polymetallic difficult-to-beneficiation sulfidic concentrates is a relevant issue. In this paper, an eco-friendly technology for polymetallic sulfidic ore processing is proposed. It includes a biohydrometallurgical step for processing of low-grade polymetallic sulfidic concentrate and a pyrometallurgical step for processing of high-grade concentrates. The biotechnological step of the technology is a combination of leaching of the concentrate with biogenic ferric iron and bioregeneration of leaching solution with the use of acidophilic microorganisms. The results are relevant to the development of a two-step biohydrometallurgical technology for processing of copper-zinc concentrate with a closed cycle of technological flows. This technology could be a promising technique to reduce the environmental hazard of metallurgical plants.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.000 | 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".