Experimental demonstration of highly sensitive visible detection with polymer microresonator transducers based-on porous silica cladding
Bibliographic record
Abstract
This work aims to develop polymer-based optical micro-resonator sensors, operating in the visible range and sensitive for homogeneous in-situ detection of pollutants in aqueous medium. This paper demonstrates that using a porous silica cladding (ns = 1.2) enhances significantly the interaction of the evanescent field with the analytes by modifying the propagation properties of the guided optical mode. The results improve sensitivity without complicating the design and avoiding surface chemical functionalization classically used for such application. Detection experiments based on real part refractive index change in the visible range have been conducted using different glucose concentrations. A sensitivity at the state-of-the-art of 255 ± 12 nm/RIU has been achieved at 760 nm for micro-resonator polymer waveguides on porous silica. These promising results enable the use of our devices in sensors to detect both real and imaginary parts of the analyzed medium refractive index, as well as analysis of complex environments.
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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) | 0.001 | 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".