Protein−Silicone Synergism at Liquid/Liquid Interfaces
Bibliographic record
Abstract
In previous studies nonionic organofunctional silicones were shown to enhance the intimacy of protein−silicone interactions at solid−liquid interfaces. In the current studies the same phenomenon was shown to manifest itself, even more clearly, at liquid−liquid interfaces. Proteins or silicones by themselves were unable to impart stability to otherwise surfactant-free water-in-silicone oil emulsions. However, stable water-in-silicone oil emulsions resulted from the simultaneous adsorption of a protein and a (triethoxysilyl)propyl-functionalized silicone at the interface from the corresponding bulk phases. Similarly, combinations of proteins and functional silicones lowered the interfacial tension of water-in-silicone oil emulsions more efficiently than either of the surfactants on their own. This clearly implies effective protein−silicone synergism at the interface, possible reasons for which are discussed.
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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) | 0.024 | 0.010 |
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; both teacher heads agree on what is shown here.
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".