Printed Flexible Carbon Black-Based Sensor for Nitrite Detection in Medical Applications
Bibliographic record
Abstract
This work presents a novel printed and flexible sensor for detecting nitrite (NO2-) using a hybrid nanocomposite composed of carbon black (CB), polyvinyl butyral (PVB), and 4-aminophenol (AP). We prepared the NO2-sensor using a combination of simple mixed materials, and a moderate drying temperature of 40°. The sensor has two linear response ranges to NO2-from 25 μM to 1 mM and from 1 to 50 mM, with a detection limit of 25 μM at room temperature. Our results show that the sensor displays appropriate selectivity towards 50 μM of NO2-in the presence of potentially interfering anions and organic compounds that may be present in human urine. We propose that the sensing mechanism is based on the physical electrostatic interaction of NO2-molecules with AP's positively charged amine groups. This interaction results in a reduction of the electrical resistance when the sensor is exposed to NO2-anions. Our work highlights the potential of this printed sensor as a reliable and accurate tool for NO2-detection in medical applications.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".