Interaction of Hydrophobically Modified Cationic Dextran Hydrogels with Biological Surfactants
Bibliographic record
Abstract
Cross-linked cationic dextran hydrogels with 20−25 mol % N -alkyl- N, N -dimethylammonium chloride pendant groups were prepared, and their interaction with sodium salts of some bile acids was investigated. The binding parameters, initial ionization constant K 0, stability constant K, and cooperativity parameter u, were calculated according to the nearest-neighbor interaction model. The influence of the length of the alkyl substituent of the hydrogel, the ionic strength, and the bile acid hydrophobicity on the binding parameters was studied. The increase in the length of the alkyl substituent of the hydrogel strongly increases the binding constants K 0 and K, but decreases the cooperativity parameter u . This was explained by the formation of mixed micelles between pendant groups of the gel and surfactant molecules. The increase in the ionic strength leads to a significant decrease of the binding constants K 0 and K and an increase in the cooperativity parameter for the binding of the bile salts by hydrogels with alkyl substituent length ≤C 4 . However, ionic strength has a small influence on the parameters for bile acid binding by hydrogels with alkyl substituent as long as C 8 or C 12 . We have also found that the binding constants are higher for more hydrophobic dihydroxylic bile acids than those for trihydroxylic ones, but u values are less influenced by the hydrophobicity of the surfactant. Finally, we have shown that the water uptake at equilibrium by the hydrogels decreases rather monotonically with the increase in the binding degree, and the decrease is more significant for the more hydrophobic hydrogels, both in pure water and in the presence of 10 mM NaCl.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".