Gold nanoparticle decorated rGO-encapsulated metal-organic framework composite sensor for the detection of dopamine
Bibliographic record
Abstract
In this study, by encapsulation of reduced graphene oxide (rGO) into Ni-based metal–organic framework (Ni-MOF) structure, the composite rGO@Ni-MOF was first prepared. Then, gold nanoparticle (AuNP) decorated rGO@Ni-MOF (rGO@Ni-MOF/AuNP) were obtained through the electrodeposition. The morphology and structure of rGO@Ni-MOF/AuNP were characterized by SEM, FTIR, and XRD. The rGO@Ni-MOF/AuNP modified electrode was used for the detection of dopamine. Combining the catalysis from Ni-MOF and AuNP with the conductivity of rGO endowed rGO@Ni-MOF/AuNP with synergetic high catalytic activity to the electrochemical oxidation of dopamine. The developed modified electrode had a good linear relationship with dopamine in the concentration range of 0.5∼120 μM, and the detection limit was 0.33 μM (S/N = 3). Additionally, the potential interferents, electrode stability, reproducibility, and practical applications were also studied and satisfactory results were obtained.
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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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 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".