Exploring Dextrin as an Eco-Friendly Depressant for Selective Flotation Separation of Scheelite and Calcite Minerals
Why this work is in the frame
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Bibliographic record
Abstract
Depressants are essential additives in the flotation separation of scheelite-calcite minerals. However, traditional inorganic depressants such as sodium silicate have the disadvantages of high dosage, environmental pollution, and being non-efficient, which leads to a growing interest in eco-friendly and effective organic alternatives. In this study, a polysaccharide, dextrin, was used as a green depressant for the flotation separation of scheelite from calcite. Micro-flotation experiments indicated that dextrin selectively depressed calcite at natural pH yet scheelite remained floatable using sodium oleate (NaOL) as a collector. Adsorption density and zeta potential results indicated that dextrin was preferentially adsorbed on the calcite surface and prevented the subsequent NaOL from adsorption. By contrast, dextrin had a weak interaction with scheelite, allowing NaOL to be adsorbed on the scheelite surface. Fourier transform infrared spectroscopy (FTIR) analysis and density functional theory (DFT) calculations suggested that the Ca2+ active sites on the calcite surface interacted with -OH groups on the carbon ring of dextrin. X-ray photoelectron spectroscopy (XPS) tests confirmed the chemical interaction between -OH groups in dextrin and Ca2+ active sites on the mineral surfaces, and importantly, the interaction was much stronger for calcite than for scheelite.
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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 | 0.000 |
| 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 | 0.002 |
| 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 it