Fully Printed pH Sensor based on Polyaniline/Graphite Nanocomposites
Bibliographic record
Abstract
Recently, there is an exceptional growth in research related to the development of flexible sensors for health analysis. pH measurements can be done non-invasively and continuously, making it an excellent parameter for monitoring different stages of wound healing. Here, we report pH functionality of a polyaniline/graphite (PANI/G) composite in a fully-printed potentiometric pH sensor and the effect of graphite loading on sensor functionality. PANI/G composites in different ratios were aerosol-jet printed on Ag/AgCl with and without a graphite layer as the working electrode in a two-electrode potentiometric sensor on a flexible substrate. The role of graphite layer on working electrode in functionality of the sensor has been investigated. The PANI/G composites were prepared by a solution processing method using a graphite paste and polyaniline emeraldine salt powder. Samples were characterized by XRD, SEM, and FTIR analysis to investigate the relations between the physical and chemical relations and the performance of the sensors. The sensors were tested in the pH range from 3 to 10, exhibiting a linear, stable and near-Nernstian sensitivity of 53 mV pH −1 and a response time of 15 s.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".