Real-Time Continuous Rapid Colorimetric Sensor for Gaseous Formaldehyde Determination by Increasing Gas-Liquid Reaction Rate
Bibliographic record
Abstract
Formaldehyde can have detrimental health effects on humans. To reduce exposure to formaldehyde, several methods have been reported for gas-phase formaldehyde determination including chromatography, capillary electrophoresis electrochemical and so on. Among these methods, colorimetric sensor is a promising technique for its high sensitivity, selectivity, low cost and compactness. However, it usually takes tens of minutes for one measurement. In this paper, a real-time continuous rapid formaldehyde determination system based on colorimetric sensor was presented. Through the study of the relationship between inlet diameter of gas and its bubble size and reaction speed, the reaction time is reduced to 1/3 with an ability to detect formaldehyde concentrations as low as 0.02 ppm. The system can also measure the formaldehyde concentration continuously and automatically, which is vital for locating pollution sources.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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".