Influence of an Electric Field on Oriented Films of DMPC/Gramicidin Bilayers: A Circular Dichroism Study
Bibliographic record
Abstract
A film of oriented bilayers containing a mixture of gramicidin and dimyristoylphosphatidylcholine (DMPC) has been deposited on a fused-silica window coated with a 10 nm thick gold layer. The thin layer of gold allows the application of an electric potential across the film and the study of its influence on the structure and integrity of the bilayers. Electrochemical measurements, ellipsometry, and far-UV circular dichroism (CD) were employed to characterize the properties of the film of bilayers as a function of the potential applied to the gold electrode. For potentials across the film that are within the range approximately +300 to -150 mV the oriented film of bilayers is stable, and no change in the CD spectra of gramicidin molecule is observed. At more negative potentials, an increase in the film thickness and water content measured by ellipsometry indicated that the film swells and incorporates water, which causes a change in the circular dichroism spectrum of gramicidin molecules in the film. This transformation was interpreted as a change in the average orientation of gramicidin molecules within the film due to a decrease in the ordering of the molecules upon swelling.
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 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) | 0.001 | 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".