Construction of rGO and GSH Electrochemical Sensor by Electrodeposition for Naringenin Sensing
Bibliographic record
Abstract
Naringenin (NRG), a flavanone compound present in citrus fruits, has a variety of beneficial physiological active functions such as antioxidant, anti-inflammatory, and hypoglycaemic. In this study, an sensor was constructed by electrodeposition and used for the electrochemical study of NRG. Reduced graphene oxide (rGO) and glutathione (GSH) showed the ability to synergistically amplify NRG signals and possessed good linearity in the concentration range of 10.00–1200.00 μmol l−1. The linear equation is Ip = 0.0776logc + 0.9353 (R2 = 0.9901), and the limit of detection is 3.33 μmol l−1. The sensor performed well in terms of reproducibility, stability, and selectivity, which in turn enabled the detection of NRG in tomatoes. The average recovery of the sensor is 95.68% to 111.92%, with RSD less than 11.89%. The results were also verified by Ultraviolet–visible spectroscopy(UV-vis). Furthermore, density-functional theory was employed to analyse the front track of the NRG, speculating that the NRG underwent a transfer of two electrons and two protons.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".