Highly sensitive microwave split ring resonator sensor using gap extension for glucose sensing
Bibliographic record
Abstract
Microwave planar resonators are highly used for non-contact characterization of chemical materials. In this paper, microstrip split rings are utilized as conventional half-wavelength resonators with sensitive spot for dielectric sensing in the gap. The sensor is configured in three different mixed electric and magnetic couplings and the sensitivities, in terms of frequency and amplitude variation, are analyzed under exposure to given materials. The passive resonators at ~2 GHz are simulated with permittivity values of samples ranging from 5 through 30. The resonator gap is engineered with an inward extension for higher sensitivity, where a uniform enhancement up to more than 20% in frequency-sensitivity is obtained to reach Δf/Δεr= 6.17 MHz (Δf/f0Δεr= 0.3%) for all coupling configurations, while the amplitude based sensitivity is preserved. An experimental application of the highly sensitive sensor is introduced in non-contact concentration measurement of glucose within wide range of 1-15 g/dL with steps of 1 g/dL.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".