A Two‐step Strategy for the Selective and Sensitive Detection of Dopamine with Glassy Carbon Electrodes
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Bibliographic record
Abstract
Abstract A new strategy is developed for using cyclic voltammetry technique to achieve sensitive and selective detection of dopamine on glassy carbon electrodes. The proposed method involves two steps, in which the cyclic voltammetric measurement is preceded by a brief period of potentiostatic treatment of the analyte solution. With this two‐step strategy redox peaks could be seen at dopamine concentration as low as 5 μM. In the co‐presence of ascorbic acid and uric acid, there are three well‐resolved anodic peaks with the peak separation between ascorbic acid and dopamine larger than 230 mV. The fact that no pre‐modification of the glassy carbon electrode is needed and the glassy carbon electrodes can be readily recovered after each measurement makes this new method attractive for the sensitive detection of dopamine.
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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 | 0.001 |
| 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 it