Lignin-polyethylene composite adsorbents for gold capture
Bibliographic record
Abstract
We report in this paper the synthesis of lignin-polyethylene composite pellet adsorbents and their adsorption performances toward the capturing of Au(III) species from aqueous solutions. In this adsorbent design, lignin (L) as an abundantly available and low-cost biopolymer is used as the active adsorbing material, while polyethylene (PE) serves as the inert binder maintaining the structural/mechanical integrity of the adsorbents. Systematic characterizations have been undertaken on the composite adsorbents to determine their performances, including the effect of pellet composition, adsorbent dosage, pH, and co-existing ions on the adsorption, as well as the adsorption kinetics, isotherm, and reusability. The highly selective gold capture in the presence of co-existing ions has also been demonstrated with the composite adsorbent L40-PE60. This work shows the strong potential of the lignin-polyethylene composite adsorbents for the low cost and easy processing of industrial gold capturing in gold mining processes. • Lignin-polyethylene composites were developed for efficient Au(III) capture in gold mining. • L40-PE60 composite excelled with high selectivity and rapid gold adsorption. • pH sensitivity was observed with optimal performance under acidic conditions. • Potential for eco-friendly, cost-effective gold recovery in industrial processes.
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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 | 0.000 | 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".