Structure and Stability of Self-Assembled Monolayers for Octadecanethiol Adsorbed onto Flame-Annealed Gold Substrate and Its Potential Application to Microfluidics
Bibliographic record
Abstract
Self-Assembled Monolayers (SAMs) derived from the adsorption of organothiols onto gold have been extensively investigated for studying their potential applications to Micro- and Nanofluidics system. However, nearly all applications rely on SAMs' stability. Because high energy gold is easy to absorb organic contaminant from ambient, totally wetting gold surface can not be obtained in the laboratory environment. Flame annealing the gold surface before adsorption not only remove the organic contaminant, it also shaves the "rolling hills" on the evaporated gold surface. SAMs formed on annealed gold surface have better structure and stability than those formed on evaporated gold. These properties will be helpful for potential application on microfluidics system as a surface modification. Ex situ spectroscopic ellipsometry, and Fourier Transform Infrared (FTIR) were used to characterize the structure of SAMs.
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".