Trace Detection of Hydrogen Peroxide via Dynamic Double Emulsions
Bibliographic record
Abstract
Hydrogen peroxide is a dynamic signaling molecule in biological systems. We report herein a versatile double emulsion sensor that can detect femtomolar quantities of aqueous hydrogen peroxide. The mechanism responsible for this sensitivity is a peroxide induced change in double emulsion structure, which results in a modified directional emission from dyes dissolved in the high index organic phase. The morphology (structure) of the double emulsion is controlled via interfacial tensions and a methyltrioxorhenium catalyzed sulfide oxidation results in an enhancement of the surfactant effectiveness. The incipient polar sulfoxide induced decrease of the interfacial tension at the organic-water (O-W) interface results in an increased interfacial area between the organic phase and water and a diminished emission perpendicular to the supporting substrate. The modularity of our sensory system is demonstrated through cascade catalysis between methyltrioxorhenium and oxidase enzymes, with the latter producing hydrogen peroxide as a byproduct to enable for the selective and sensitive detection of molecular and ionic enzymatic substrates.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".