Adsorption Density Control of Ferritin Molecules by Multistep Alternate Coating
Bibliographic record
Abstract
We have developed a process to control adsorption density of ferritin molecules on SiO2 surface in the high-density regime. We use two types of ferritin molecules: titanium-binding peptide ferritin (TBF) and Fer8S. The former has a property to get adsorbed on the SiO2 surface, and it is positively charged in the buffer solution. The latter is negatively charged in the solution. Exposure of the TBF solution on the substrate followed by rinse in water and drying leads to 4.6×103 molecules/µm2 of adsorption density, corresponding to a half of the coverage of the whole surface. Subsequent drop of the Fer8S solution leads to 6.0×103 molecules/µm2, and repeating this alternate coating process enables the full coverage of the surface. We also discuss the dominant factors that determine the adsorption patterns using Monte Carlo simulations.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".