Epi-fluorescence microscopic characterization of potential-induced changes in a DOPC monolayer on a Hg drop
Bibliographic record
Abstract
Characterization of the potential-induced changes of a lipid-coated Hg-0.1 M KCl interface through electrochemical techniques and newly developed in situ fluorescence microscopy is described. Fluorescence of a fluorophore-containing dioleoyl phosphatidylcholine (DOPC) layer deposited from the gas-solution interface was observed to be dependent upon the potential of the Hg surface. The largest changes occurred for potentials where the lipid layer was desorbed: the lipid moved away from the electrode surface, reducing the efficiency of metal-mediated quenching of the excited state resulting in an increase in fluorescence. Electric potential-induced changes in the morphology of the adsorbed or desorbed DOPC lipid monolayer were observed optically for the first time using this technique. The observed potential-dependent fluorescence was compared to previous studies on an octadecanol-coated Au(111) electrode. Fluorescence microscopy was also used to characterize the fusion of DOPC liposomes with a previously adsorbed DOPC layer. Large changes in fluorescence were observed for the DOPC layer after fusion with liposomes. The fusion was accomplished via potential-created defects in the adsorbed DOPC monolayer through which the liposomes interact. The integration of the liposomes into the adsorbed monolayer results in a hybrid layer in which some lipid exists further from the electrode surface, resulting in a large increase in fluorescence. Possibilities for the creation of a biomimetic adsorbed hybrid lipid layer on Hg are also discussed.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".