Synthesis and characterization of peptide nanostructures chemisorbed on gold
Bibliographic record
Abstract
We report the synthesis and the use of a peptide nanostructure for the preparation of modified gold nanoparticles and gold surfaces. A helical peptide bearing six crown ether side chains, known to form an artificial ion channel, was modified at its termini with biotin and a disulfide group. Using this peptide nanostructure, we were able to prepare gold nanoparticles and self-assembled monolayers on gold surfaces. FTIR and IRRAS experiments demonstrated that the peptide nanostructures retained their helical conformation when chemisorbed on a gold surface and that they are oriented with tilt angles around 55° from the surface normal. AFM studies confirmed that the peptide nanostructures formed well defined and regular surfaces with clusters having average heights of 5–6 nm, in close agreement with the size of the nanostructure.
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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) | 0.000 | 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".