Abrasive Stripping Voltammetry in Room Temperature Ionic Liquids
Bibliographic record
Abstract
Abstract We report on the abrasive stripping voltammetry (AbrSV) of six different solid compounds of widely different natures in room temperature ionic liquids (RTILs). Copper as a metal representative, Prussian blue as a typical inorganic complex, indigo as an organic dye model, and anthracene, pyrene, and 9,10‐diphenylanthracene as the typical representatives of aromatic hydrocarbons were chosen in this study. They were immobilized on a gold electrode surface by mechanical abrasion and their subsequent voltammetric measurements were carried out in the ionic liquid [C 4 mim][NTf 2 ], 1‐butyl‐3‐methylimidazolium bis(trifluoromethylsulfonyl)imide. The present work demonstrates that RTILs provide an excellent electrochemical solvent environment for abrasive stripping voltammetric analysis; in particular, the much wider potential windows in RTILs as compared to aqueous media greatly enhance the analytical applicability of the AbrSV technique.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 | 0.001 |
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".