Comparative Studies of Electrochemical Behaviors of Benzenediols at a Gold Nanoparticle/carbon Nanotube Composite Modified Glassy Carbon Electrode
Bibliographic record
Abstract
A gold nanoparticle/carbon nanotube composite modified glassy carbon electrode was fabricated and used to investigate electrochemical characteristics of hydroquinone, catechol, and resorcinol via cyclic voltammetric analysis under neutral pH conditions. The results imply that the gold nanoparticle/carbon nanotbue modified electrode exhibited a synergistic and excellent electrocatalytic effect of gold nanoparticles and carbon nanotube on the redox behaviors of benzenediols. The reversibility of electrochemical reaction was improved greatly and the peak currents were increased significantly compared with a bare electrode. Good linear relationships were obtained between the oxidation peak currents and the concentrations of catechol and resorcinol. The electrochemical process of catechol was controlled by surface adsorption process, while that of resorcinol was controlled by diffusion process. However, the peak current and the concentration of hydroquinone were not proportional in the whole concentration range, which is because the controlling process of electrochemical reactions was different in the different hydroquinone concentration. Benzenediols could be detected simultaneously at the modified electrode but not at the bare electrode. The stability of the modified electrode was excellent in the benzenediols solutions, which made it possible for the practical application of the modified electrode.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".