System-on-Board Integrated Flexible OEGFET Aptasensor for Saliva Testing of Cortisol
Bibliographic record
Abstract
The need for oral health monitoring Point of Care (PoC) systems is ever growing. We have recently reported a novel aptamer-based flexible biosensor for detection of a high impact hormone, cortisol, in saliva samples using organic electrolyte gated FET (OEGFET) technology. In this work, we are reporting a first stage system-level integration of this aptasensor which was previously reliant on a bench-top measurement set-up. The reported flexible OEGFET aptasensor has integrated soft microfluidics and a customized, low power (<300mW) printed circuit board. The integrated aptasensor was assessed using spiked saliva supernatant samples which established comparable detection threshold for the miniaturized board-based configuration. The system-on-board integration effort confirms the ability to characterize, calibrate and operate our small footprint biosensor without the need for a lab-based test setup. The portable oral biosensor has potential to be transformed into a multianalyte sensing platform, and it is therefore presented as promising prototype for future clinical validation.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".