Highly Sensitive, Room-Temperature Gas Sensors Prepared from Cellulose Derivative Assisted Dispersions of Single-Wall Carbon Nanotubes
Why this work is in the frame
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Bibliographic record
Abstract
We have developed highly sensitive gas sensors based on single-wall carbon nanotube (SWNT) networks prepared from aqueous hydroxypropylcellulose-assisted dispersions. Gas responses were monitored at room temperature for different concentrations of NO2. The stable baseline and its recovery (after NO2 exposure) were achieved by ultraviolet (UV)-induced photodesorption, for which a compact and low-power UV light emitting diode can be used as a light source. The sensors are capable of detecting 25 ppb or lower concentrations of NO2 and 5 ppm ammonia, and show almost no baseline drift after multiple NO2 exposures. The simple and low-cost fabrication process, reproducible performance and room-temperature operation bode well for industrial mass production and broad uses.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it