Electrochemical Synthesis of CuxO/Cu2S Nanocomposites as Nonenzymatic Glucose Sensor
Bibliographic record
Abstract
The focus of this study is to explore ways of accelerating the corrosion rate of copper anodes for the possible synthesis of copper nano-composites on the counter electrode, and the subsequent applications of such composites as nonenzymatic glucose sensor. Normally, a strong corrosion resistance of copper anodes emerges in alkaline solutions due to the formation of a passive copper hydroxide film, which prevents further corrosion. In this research the presence of sulfide ions in the electrolyte was found to dramatically promote the corrosion process and eventually led to the production of CuxO/Cu2S (where CuxO was consist of Cu2O and CuO) nanocomposites on the counter electrode during the electrochemical corrosion process. When the as-prepared copper nanocomposites electrodes were used to detect the oxidation of glucose, a strongly enhanced anodic process was obtained, in which the detection limit was found to be around 10 uM with a linear range of 10-1000 uM and a detection sensitivity of 2688 uA cm -2 mM -1 .
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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 | 0.000 |
| 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) | 0.001 | 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".