Hydrogen peroxide chemiresistive detection platform with wide range of detection
Bibliographic record
Abstract
Hydrogen peroxide is an intermediate molecule that can be used to detect numerous other analytes using peroxidase assays. Methods for detection of hydrogen peroxide can be broadly classified into colorimetric or electrochemical. Colorimetric methods require reagents while electrochemical methods require reference electrodes, both of which make sensing complicated. As an alternative, in this paper, we demonstrate a reliable, simple, reagent free solid state chemiresistive sensor for hydrogen peroxide detection. The chemiresistor is composed of a drop casted carbon nanotube film with two parallel carbon ink contact electrodes. Carbon nanotube electrode is functionalized with phenyl capped aniline tetramer (PCAT). This sensor was able to sense over a wide range of concentrations from 3 ppm to 1200 ppm. Further, we also demonstrate that this sensor can be employed in a peroxidase assay to detect biomolecules such as glucose by adding the appropriate enzyme.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".