Stimulating Multiple SERS Mechanisms by a Nanofibrous Three-Dimensional Network Structure of Titanium Dioxide (TiO<sub>2</sub>)
Bibliographic record
Abstract
A unique 3-D nanostructure is generated from pure Ti by a pulsed femtosecond laser. The resulting crystalline TiO 2 nanofibers in a 3-D nanonetwork were found to be significant contributors to surface-enhanced Raman spectroscopy (SERS). Overall, the analytical enhancement factor was calculated to be 1.3 × 10 6 based on a crystal violet dye. Based on our best knowledge as well as SEM, TEM, EDX, and AFM studies, high Raman activity may be occurring by multiple mechanisms including nanogap, nanocluster, and plasmonic hybridization. This important result rivals silver (Ag) and gold (Au) as the most popular SERS substrates. The novelty of our presented work implies a potential approach to prepare traditionally inactive substrates for Raman biomolecular sensing and chemical detection studies.
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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 | 0.000 |
| 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 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".