The Selective and Sensitive Fluorogenic Detection of Hydrogen Gas Using an Azomethine-H Dye
Bibliographic record
Abstract
Hydrogen (H 2(g) ) is a viable green fossil fuel alternative, as its combustion yields only water and energy. However, H 2(g) is highly flammable, explosive, and lacks odor. These characteristics warrant sensitive and specific detection methods for its widespread use as an alternative fuel source. Recently, there has been growing interest in the development of H 2(g) sensors, particularly those that are easy to use, environmentally friendly, and sensitive. Here, we show the first example of an optical fluorogenic hydrogen sensing platform, which employs a readily available dye azomethine-H (Az-H, 4-hydroxy-5-(2-hydroxy-benzylideneamino)-naphthalene-2,7-disulfonic acid) and a hydrogen-transferring compound [{Ir(Cp*)(Cl)} 2 (thbpym)](Cl) 2 (IrCp*, (Cp* = C 5 Me 5 –, thbpym = 4,4′,6,6′-tetrahydroxy-2,2′-bipyrimidine)) to engineer H 2(g) gas selectivity with high sensitivity at room temperature and pressure. This system yields ∼47–fold fluorescence enhancement when exposed to H 2(g) in aqueous solution or ∼2.4–fold in a carboxymethyl cellulose (CMC) hydrogel matrix, with an estimated detection limit of ∼0.5% H 2(g) with no cross-reactivity observed for potentially contaminating gases such as nitrogen (N 2(g) ), oxygen (O 2(g) ), or air.
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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 | 0.000 |
| 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 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".