Electrochemical Behavior Of Resorcinol 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 by simple casting method and was used to study the electrochemical behavior of resorcinol in neutral pH condition. The modified electrode exhibited synergistic electrochemical catalytic effects of carbon nanotube and gold nanoparticles on the electrochemical reactions of resorcinol. The intensity of oxidation peak of resorcinol on the modified electrode was enhanced about 10-times compared with that on the bare electrode. The electrochemical reaction was mainly controlled by diffusion process. The layers of composite, pH, electrolytes could influence electrochemical signal of resorcinol. The stability and reproducibility of the modified electrode is good. The oxidation peak current was proportional to resorcinol concentration in the range of 1 x 10(-5) to 1 x 10(-3) mol/L and the detection limit of resorcinol was 5.0 x 10(-6) mol/L, demonstrating that it is promising for the detection of resorcinol using the gold nanoparticle/carbon nanotube modified glassy carbon 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) | 0.001 | 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 | 0.001 |
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".