Determination of Furosemide Based on CdS QDs-Luc/MoSe2 Electroluminescent Detection Platform
Bibliographic record
Abstract
In this paper, a novel composite modified glassy carbon electrode (GCE) based on CdS QDs-Luc / MoSe2 was constructed for the quantitative determination of furosemide by electroluminescence. The CdS QDs-Luc / MoSe2 modified GCE was prepared by dropping 2 μL MoSe2, fluorescein (Luc) and CdS QDs solution to the glassy carbon electrode in turn. The electrochemical response characteristics of the sensor were characterized by electrochemiluminescence (ECL) and cyclic voltammetry (CV), and the preparation and detection conditions were optimized. The results show that the linear range of this method under the optimal conditions is 0.0 – 100 μM, and the linear equations are y= − 5822. 43x + 14475.94 (0.0 - 1.0 μM) and y = − 33. 60x + 8491.46 (1.0 - 100 μM), respectively. The correlation coefficients are R2 = 0.99465 and R2 = 0.99247, respectively. The new detection platform has the advantages of rapid response, high sensitivity, low detection limit, good stability and low cost, and has good application prospects.
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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) | 0.001 | 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 | 0.001 |
| 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".