Core–Shell Structured Fe<sub>3</sub>O<sub>4</sub>@CuS for Effective Gold Capture and Recovery
Bibliographic record
Abstract
Gold is a valuable commodity with numerous industrial and technological applications. Traditional adsorbents for gold adsorption using activated carbon or ion exchange adsorption resin are limited by low capacity and selectivity. To overcome these limitations, this study introduces a core–shell structured magnetic adsorbent, Fe 3 O 4 @CuS, which can capture and recover gold through in situ reduction. The resulting gold-loaded adsorbent can be easily separated using an external magnet, offering significant advantages such as high efficiency, ease of operation, low cost, low materials consumption, and low waste generation. Results show that this adsorbent has a gold loading capacity of 407 mg/g within 4 h, and the maximum capacity can reach up to 558.7 mg/g. Moreover, this magnetic adsorbent exhibited good selectivity for gold in the presence of other base metals. This research shows the feasibility of using Fe 3 O 4 @CuS for efficient gold recovery and provides insights into its adsorption behavior and mechanism.
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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".