2D hematene, a bioresorbable electrocatalytic support for glucose oxidation
Bibliographic record
Abstract
Abstract Towards the aim of developing implantable and fully biodegradable sensors and biofuel cells, 2D nanosheets of hematite have been exfoliated and processed into electrode materials for glucose sensing. Gold, (Au) nanoparticles were electrodeposited onto the 2D substrate to develop a sensitive non-enzymatic glucose sensor. Despite a low loading of a catalyst, the composite achieved a sensitivity of 10 μ A mM −1 cm −2 , good linearity (0–3.2 mM) with a detection limit of 0.4 mM, a response time of less than 10 s, and long-term performance stability. These results make Au/Fe 2 O 3 hematene nanosheet, a promising catalytic material not only for glucose monitoring but also from which to construct biofuel cells using glucose as fuel.
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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".