Composition-Dependent Rheology of Aqueous Systems of Amphiphilic Sodium Poly(2-acrylamido-2-methylpropanesulfonates) in the Presence of a Hydrophobically Modified Cationic Cellulose Ether
Bibliographic record
Abstract
The rheology of aqueous solutions of a hydrophobically modified cationic hydroxyethylcellulose ether (LM200) in the presence of hydrophobically modified poly(sodium 2-acrylamido-2-methylpropanesulfonates) (HM-PAMPS) was studied in the semidilute regime (10 g L -1 ) by oscillatory shear and steady shear measurements. The polyanions were copolymers of sodium 2-acrylamido-2-methylpropanesulfonate and N - n -dodecylmethacrylamide (PA90Dod or PA80Dod) with dodecyl group content of 10 and 20 mol %, respectively. The LM200/polyanion mixtures underwent phase separation for compositions near charge neutralization but were homogeneous over wide composition ranges. Miscible fluids with excess polyanion with respect to the polycation content behaved as elastic gels, viscoelastic fluids, or viscous liquids, depending on the mixture composition and the level of hydrophobic modification of the polyanion. The viscous polyanion-rich fluids were Newtonian fluids at low shear rates; they increased in viscosity at moderate shear rates (shear thickening regime) and underwent shear thinning at high shear rates. In contrast, polyanion-poor mixtures were viscoelastic fluids and exhibited shear-thinning properties for all compositions and independently of the dodecyl content of the polyanion. The occurrence of two types of networks in LM200/HM-PAMPS mixed fluids is attributed to the disparity in the charge density, level of hydrophobic modification, and flexibility of the polycation and polyanions.
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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 | 0.001 |
| 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 | 0.001 |
| 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".