A Novel Screen-Printed Electrode Modified by graphene Nanocomposite for Detecting Clozapine
Bibliographic record
Abstract
Present study aims to use Go/Fe 3 O 4 /SiO 2 nanocomposite modified screen printed electrode for electrochemical determination of clozapine. To that end, scanning electron microscopy (SEM) technique was used to study the surface morphology of the Go/Fe 3 O 4 /SiO 2 nanocomposite. The findings of the study showed that modified electrode has an excellent electrocatalytic performance toward oxidation of clozapine. A linear increase in differential pulse voltammetric peaks current of clozapine was observed with their concentrations in the range of 0.1-700.0 μM. The detection limit obtained for clozapine was 0.03 μM. Some advantages of using proposed sensor, among the others, were fast response time, high sensitivity, signal stability, low cost, ease of preparation and the lack of need for using any specific electron-transfer mediator or specific reagent. Accordingly, modified electrode can be used without any need for separation or pretreatment steps to detect clozapine in real samples.
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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 | 0.001 | 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) | 0.001 | 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".