Molecular and Surface Interactions between Polymer Flocculant Chitosan-<i>g</i>-polyacrylamide and Kaolinite Particles: Impact of Salinity
Why this work is in the frame
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Bibliographic record
Abstract
Solution salinity plays an important role in the interactions between polymer flocculants and solid colloid particles which determine the flocculation performance. In this work, chitosan- graft -polyacrylamide (chi- g -PAM) was synthesized and characterized. The influence of solution salinity (viz., addition of NaCl and CaCl 2 ) on the flocculation of chi- g -PAM on kaolinite suspension and the interactions between the polymers and solid surfaces was investigated via several complementary measurements and techniques, including settling tests, zeta potential analyzer, quartz crystal microbalance with dissipation (QCM-D), surface forces apparatus (SFA), and atomic force microscope (AFM). Our results show that the initial settling rate (ISR) of kaolinite suspension decreases with increasing the concentration of NaCl and CaCl 2 (0.01 to 1 M). The high salinity condition leads to a relatively weak adsorption and more compressed conformations of chi- g -PAM chains on both silica and alumina surfaces (two facets of kaolinite), as well as weakened bridging interactions between two mica surfaces (with silicate structure similar to kaolinite), therefore resulting in relatively poor flocculation performance. The interaction mechanism between chi- g -PAM polymer chains and kaolinite particles during flocculation was discussed in terms of the intermolecular and surface forces involved.
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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 | 0.000 | 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 it