Volatile Organic Compound Wireless Monitoring at a Low-Profile and Passive Resonant Surface
Bibliographic record
Abstract
The Development of microwave gas sensors with a low-profile design and enhanced sensitivity is a continuing challenge. This summary describes the wireless detection of volatile organic compounds (VOCs) by a resonant surface integrated with a thin (0.08 mm) polydimethylsiloxane (PDMS) dielectric interface. Resonating at ~8.5 GHz, the surface was mounted on an RT5880 Rogers substrate with a thickness of 0.51mm, backed up by a ground plane. Upon the presence of VOCs, the PDMS layer started interacting with the vapor molecules and swelled. The swelling affected the effective permittivity of the SRR's topside medium, subsequently changing the resonant frequency. The variations in the SRR's resonant characteristics were monitored using a bi-static configuration of horn antennas. Experimental results indicated that for 1–3 milliliters of tetrahydrofuran (THF) in the chamber, the sensor demonstrated a 140 MHz in the resonant frequency. With a low-profile and passive design, this microwave gas sensor enables the wireless detection of VOCs in applications where cabling and power requirements, and accessibility are limiting concerns.
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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".