Fabrication of LTCC Micro-fluidic Devices For Wireless Lab-On-A-Chip Applications
Bibliographic record
Abstract
Abstract Low temperature co-fired ceramic (LTCC) based microfluidic sensors have been developed for biomedical and environmental sensing systems. This paper introduces a microfluidic chamber based on impedance spectroscopy measurements using LTCC technology for wireless Lab-On-A-Chip (LOC) applications. To overcome the channel sagging during the fabrication process, we used sacrificial carbon tapes as solid inserts, thus guiding the LTCC to follow their shape upon lamination and then formed micro-channels. The measurement chamber was a parallel-plate capacitive structure with 85 μm gap. This platform requires a small fluid sample of less than 4 μL. The sensor formed by the microfluidic channel and capacitance structure was characterized using different dielectric materials such as air, water and acetone. We hereby present the capability of LTCC-based systems in fluid identification by detecting their electrical permittivity using capacitance measurement.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".