A Flexible Printed Potentiometric Sensor for Potassium Ion Sensing
Bibliographic record
Abstract
In this work, a flexible printed potassium ion (K+) sensor with good sensitivity is developed. The sensor is a two-electrode structure potentiometric sensor. It is fabricated by printing the working and reference electrode on a flexible Kapton film, followed by drop casting of an ion-sensitive membrane (ISM) on the working electrode. For the ISM, ion exchangers are deliberately doped into ionophores to obtain a stable and reproducible response and reduce the effects of interfering ions. The sensor has achieved a sensitivity of 50.0mV/log[K+] with an accuracy of 0.19 log[K+] and resolution of 0.17 log[K+] over 10-5to 1 M K+concentration range. The interfering ions over the range present in saliva do not significantly affect the sensor’s measurement. The sensor can be used to detect the concentration of K+accurately from the human saliva in order to achieve quick and non-invasive health diagnostics.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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".