Electrochemical sensor based on rhodium nanoparticles stabilized in zwitterionic surfactant for <i>p</i>-coumaric acid analysis
Bibliographic record
Abstract
A new sensor was developed for the analysis of phenolic compounds by coating the surface of a glassy carbon electrode (GCE) with rhodium nanoparticles stabilized in 3-(1-tetradecyl-3-imidazolium) propanesulfonate (ImS3-14), a zwitterionic surfactant. The modifier was found to lower the electron transfer resistance by enhancing the electrical conductivity on the electrode surface. Some phenolic compounds were tested to determine the increase in the electroanalytical response when employing the proposed sensor in comparison to the bare GCE. p-Coumaric acid showed the greatest peak enlargement and, thus, it was selected as the target analyte. Chronocoulometry studies indicated that the increase in the peak is due to the adsorption of the p-coumaric acid on the sensor surface. The optimized analysis conditions were obtained in acetate buffer pH 4.0 employing differential pulse voltammetry, which provided a limit of detection of 472 nmol/L. The recoveries ranged from 98.3% to 104.4%, indicating satisfactory accuracy for the proposed method. The sensor exhibited good repeatability and reproducibility (both intraday and interday) and was applied successfully in the determination of p-coumaric acid in a cellulosic matrix.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 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".