Polydimethylsiloxane Permeability-Based Method for the Continuous and Specific Detection of Hydrogen Sulfide
Bibliographic record
Abstract
Hydrogen sulfide (H(2)S) is known to play a physiological role in processes as diverse as vasodilation, maintenance of vascular tone, neurotransmission, and immune response. The multitude of physiological functions in which H(2)S is involved warrants the development of useful methods for its detection. Here, we introduce a simple and continuous H(2)S detection method that exploits the relatively high polydimethylsiloxane (PDMS) permeability of H(2)S in comparison to other thiols typically encountered in the cellular milieu. In this method, 96-well inserts constructed of PDMS act as an H(2)S-permeable membrane, eliminating nonspecific thiol detection. This design also makes it possible to use virtually any available thiol-specific probe such as Ellman's reagent which was used here to detect H(2)S once it crossed the PDMS membrane. Utilizing this method, a detection limit of 9.2 ± 1.9 ppb(m) (parts per billion (by mole) or ~0.51 μM in 1.6 mL of buffer) free H(2)S (detected as solution sulfide) was achieved. In addition, the assay was used to determine K(M) and V(max) for natural substrates of cystathionine γ-lyase (CSE), the main enzyme responsible for H(2)S production in peripheral tissues. The K(M) and V(max) of CSE for cysteine were 3.79 ± 2.07 mM and 0.37 ± 0.02 nmol H(2)S/min, respectively. K(M) and V(max) for homocysteine were 6.90 ± 1.78 mM and 1.10 ± 0.19 nmol H(2)S/min, respectively. In addition, the assay was used to examine the potential for a direct interaction of H(2)S and NO. The levels of detected H(2)S decreased in the presence of NO under normoxia but not under anoxia indicating that H(2)S does not react with NO but with N(2)O(3) likely formed in the hydrophobic environment of PDMS.
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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 | 0.001 | 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".