Passive Coupled Microwave Resonators for VOC Monitoring Using Flexible PDMS Beam
Bibliographic record
Abstract
Microwave monitoring methods are promising gas/polymer interaction monitoring tools. This paper outlines a microwave investigation into the interaction between a polydimethylsiloxane flexible (PDMS)-coated split ring resonator (SRR) and a volatile organic compound (VOC) using a reader SRR. The SRR, resonating at ~ 2.6 GHz, was mounted on an RT5880 Rogers substrate with a thickness of 0.51mm, backed by a ground plane. When Tetrahydrofuran (THF) was exposed, the PDMS-coated SRR interacted with the gas molecules and underwent a swelling phenomenon. This physical swelling, significantly impacted the PDMS structure, leading to a vertical deflection of the PDMS-coated SRR beam and altering the resonant profile$(S_{21})$properties of the coupled microwave resonators. The experimental findings revealed that when subjected to VOC concentrations in the range of 1–3 ml Tetrahydrofuran in the chamber, the sensor exhibited a 40 MHz shift in the resonant frequency and a 30 dB change in the resonant amplitude. This finding underscores the potential of this detector for VOC monitoring and, notably, opens an avenue for in-depth exploration of the interaction between polymers and gases.
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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) | 0.001 | 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) | 0.002 | 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 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".