Monitoring of adenosine within hollow core photonic crystal fiber by surface enhanced Raman scattering (SERS)
Bibliographic record
Abstract
Hollow core photonic crystal fiber (HC-PCF) has emerged as a new generation micro-structured fibers with an ability to confine light within the core region. The possibility of infiltrating the analyte within the HC-PCF has further given boost to the strong light-matter interaction. It, therefore, lays a platform for harnessing the maximum potential of existing spectroscopic techniques in sensing broad range of molecules. The presented work aims to utilize one such technique known as surface enhanced Raman scattering (SERS) in conjugation with HC-PCF for monitoring adenosine in presence of nano structured materials. The novelty of the presented work primarily lies in realizing the SERS signal of adenosine molecule by non-selectively filling all the holes of HC-PCF while exploiting the bandgap property of HC-PCF. Such detection scheme facilitates enhancement in Raman signal by nano materials and HC-PCF. Additionally, an effort has been made to measure the actual contribution of enhancement by HC-PCF from that of nanoparticles in the overall Raman signal enhancement of adenosine.
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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".