Surface‐Enhanced Raman Scattering and Photothermal Effects on Optoplasmonic Nanofibers
Why this work is in the frame
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Bibliographic record
Abstract
Abstract When decorated with plasmonic nanoparticles, pulled optical nanofibers are compatible with plasmonic techniques enabling the ability to probe microenvironments with high spatial and temporal resolution. Although the nanofibers exhibit excellent compatibility for biological samples including cells and tissues, the underlying interactions between the dielectric fiber, plasmonic nanoparticles, and the incident light have been minimally explored. It is shown that the complex coupling of optical and plasmonic properties within the nanofiber strongly influences both the surface‐enhanced Raman scattering (SERS) and photothermal capabilities. Through a combination of experimental results and simulated electric field distributions and spectra it is demonstrated that, although the nanofibers may be homogeneously decorated with gold nanoparticles, the optical effects spatially differ. Specifically, the SERS performance varies periodically based on the diameter of the nanofiber, which is associated with ring resonator modes, while the photothermal effects are more homogeneous over the same diameters, highlighting differences in optoplasmonic properties at this length scale. Through understanding these effects, it may become possible to control temperatures and SERS properties to evaluate processes with micrometric spatial resolution, such as the analytes secreted during temperature‐induced death of single cells.
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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 | 0.001 |
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 it