Voltammetric determination of hexestrol based on the enhanced effect of a polymerized 3-decyl-1-(3-pyrrole-propyl)imidazolium tetrafluoroborate ionic liquid film electrode
Bibliographic record
Abstract
3-Decyl-1-(3-pyrrole-propyl)imidazolium tetrafluoroborate (DPIMBF4) ionic liquid was synthesized and characterized. DPIMBF4 ionic liquid not only possesses a pyrrole group that can be electrochemically polymerized onto a glassy carbon electrode surface by using a multipotential step technique, but it also contains a long carbon chain that can improve the stability of a polymerized ionic liquid film in an aqueous solution. X-ray photoelectron spectroscopy, scanning electron microscope, and electrochemical impedance spectroscopy were used to confirm the successful polymerization of the ionic liquid. Voltammetry was employed to investigate the electrochemical behaviors of an environmental estrogen, hexestrol, at the polymerized ionic liquid film electrode. Hexestrol presents an irreversible oxidation peak at the polymerized DPIMBF4 ionic liquid film electrode. Compared with the bare glassy carbon electrode, the oxidation peak of hexestrol increased significantly on the polymerized DPIMBF4 ionic liquid film electrode. The oxidation peak current was found to be linearly related to hexestrol concentration in the range of 5.0 × 10−9 to 1.0 × 10−5 mol L−1. The detection limit was calculated to be 1.25 × 10−9 mol L−1 (S/N = 3). Hexestrol in crucian meat was determined using the polymerized DPIMBF4 ionic liquid film electrode with good accuracy.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".