High Sensitivity Evanescent Field-Based Micro-Resonator Using Porous Cladding for Sensing Applications in the Visible Range
Bibliographic record
Abstract
In this work, we fabricate and study a sensitive polymer-based optical sensor for visible range detection in water environment. The studied transducer is a micro-resonator relying on the interaction between the evanescent wave and the aqueous medium to measure the medium refractive index change. The micro-resonator consists of a waveguide with PMMA polymer as the core layer and porous silica as the lower cladding layer to significantly enhance the evanescent field ratio and sensitivity. The first results show a very good resonator quality factor of around 2.10$^{4}$and a sensitivity of 255nm/RIU at 760nm for aqueous solutions with glucose at different concentrations. These state-of-the-art results obtained in the visible range demonstrate that a polymer-based sensor with a porous cladding appears as a promising platform for evanescent field-based sensing in the visible range without any surface chemical functionalization in an aqueous medium.
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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 | 0.001 |
| Open science | 0.001 | 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".