Thiophene Esters Are Not Selective for H<sub>2</sub>S and Undergo Thiol and Esterase Cleavage
Bibliographic record
Abstract
Hydrogen sulfide (H 2 S) fluorescent probes are important tools for imaging and understanding H 2 S in biology. One significant requirement for such probes is that they are highly selective for H 2 S over competing analytes, which are often present at much higher levels than endogenous H 2 S. Different approaches have been used to generate selective H 2 S probes, and recently, highly selective probes using 2-thiophene esters have been reported. We report here that in contrast to prior reports, thiophene ester probes are not selective for H 2 S but rather report on both biothiols and esterase activity. We do demonstrate, however, that the rate of reactivity toward H 2 S can be enhanced by incorporating an ortho aldehyde, leading to an 85-fold rate enhancement. We anticipate that this work will further clarify effective approaches for selective H 2 S detection and also advance strategies for improving the selectivity of electrophilic probes for H 2 S and other related nucleophiles.
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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 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".