Optimum Size and Volume of Nanoparticles Within Hollow Core Photonic Crystal Fiber
Bibliographic record
Abstract
We investigate the effect of volume and size of silver nanoparticles (AgNP) on surface enhanced Raman scattering (SERS) signal of rhodamine 6G (R6G) within hollow core photonic crystal fiber (HC-PCF). The HC-PCF enhanced the Raman signal of R6G by a factor ~90 via photonic band gap. In addition, the optimal size and volume of AgNP enhanced the Raman signal of R6G by a factor of ~43, resulting in a total enhancement of ~4223 in HC-PCF. A comparison of AgNP enhancement factors in HC-PCF and bulk sample (cuvette) is presented at their optimal size and volume with respect to R6G. The SERS based HC-PCF sensing platform as optimized for R6G as a test molecule, was further utilized for monitoring adenosine for clinical application.
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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 | 0.001 | 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".