Amphiphilic Block Copolymers as Bile Acid Sorbents: 2. Polystyrene-<i>b</i>-poly(<i>N</i>,<i>N</i>,<i>N</i>-trimethylammoniumethylene acrylamide chloride): Self-Assembly and Application to Serum Cholesterol Reduction
Bibliographic record
Abstract
This paper presents morphological studies and preliminary bile salt binding properties of the new amphiphilic diblock copolymer polystyrene-b-poly(N,N,N-trimethylammoniumethylene acrylamide chloride) (PS-b-PTMEACl)(1) (see Figure 1), a derivative of PS-b-poly(tert-butylacrylate) (PS-b-PtBuA). In an aqueous environment, PS-b-PTMEACl forms simple spheres (approximately 20 nm diameter), large compound micelles (>100 nm diameter), and larger, more complex architectures as presented and discussed below. The colloidal stability with respect to sodium chloride and as a function of particle concentration is also considered. Finally, PS-b-PTMEACl aggregates were prepared and tested as an alternative to the commercially available bile salt sequestrant resins that target coronary heart disease due to elevated cholesterol levels. Electron micrographs were employed to visualize the colloid-based polyelectrolyteminus signbiosurfactant interaction and chromatographic separation analytical methods were used to quantify the sequestration. The results indicate that although at this preliminary stage they require laborious preparation, self-assembled aggregates may present an interesting alternative to the clinically used bile salt sequestrants.
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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".