Mechanism of Polyelectrolyte Transfer during Heteroflocculation
Bibliographic record
Abstract
The flocculation kinetics of colloids (fines) on polymer-coated collectors (fibers) was quantified. The variables of interest include shear rate, salt concentration, and polymer chemistry. After an initial deposition on the collector surface, the colloids slowly detach to form a stable suspension. This is caused by polymer transfer. A theoretical model describing the simultaneous kinetics of colloid deposition on polymer-coated surfaces and polymer transfer was developed and validated. The flocculation is characterized by three rate constants: k 1 (deposition), k 2 (detachment), and β (polymer transfer coefficient). Two limiting cases were identified in the colloids detachment/polymer transfer behavior, which correspond to flocculation mechanisms by bridging and by charge reversal. Low- M W, highly charged polyelectrolytes provide weak bonds (high detachment rates) and a low transfer coefficient. Contrarily, high- M W, weakly charged PAMs provide stronger bonds (low detachment rates) but are more efficiently transferred. The different behavior was explained by the different layer conformations of both cases.
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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) | 0.000 | 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 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".