A novel strategy for the detection of <i>tert</i>-butylhydroquinone based on graphene quantum dots and silver nanoparticle modified glass carbon electrode
Bibliographic record
Abstract
Graphene quantum dots (GQDs) were synthesized by a facile one-step wet chemically derived from carbon fibers. A novel, sensitive, simple, and convenient method for the detection of tert-butylhydroquinone (TBHQ) was established based on GQDs and silver nanoparticle (AgNP) modified electrode. The modified electrode exhibited excellent electrocatalytic performance toward the electrochemical detection of TBHQ. Meanwhile, a possible reaction mechanism related to the oxidation of TBHQ was proposed. The electron transfer number and electron transfer coefficient were found to be 3.05 and 0.40. The surface concentration of TBHQ on GQD/AgNP-modified electrode was calculated as 2.62 × 10−10 mol cm−2. Under the optimum conditions, a good linear relationship between peak current and the concentration of TBHQ was obtained in the range of 0.15–300 μmol L–1 with a detection limit of 0.07 μmol L–1 (S/N = 3). The proposed method was successfully applied for the detection of TBHQ in edible vegetable oil.
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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 | 0.001 |
| 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".