Electrochemical Investigations into the Binding of Some Nonredox Active Metal Ions to Surface-Bound Glutamic Acid Conjugates
Bibliographic record
Abstract
A number of ferrocene glutamic acid cystamine conjugates suitable for the preparation of thin film on gold were prepared and fully characterized electrochemically and spectroscopically. In this study, we evaluate the interactions of nonelectroactive metal ions such as Ca 2+ and Tb 3+ ions using a combined electrochemical and spectroscopic approach. Cyclic voltammetry studies show a reversible one-electron redox behavior associated with the ferrocene group. These peptide interfaces exhibit a considerable affinity to bind Ca 2+ and Tb 3+ ions from aqueous solutions with log K ∼ 3. In the presence of metal ion, the charge associated with oxidation of the ferrocene group decreases in line with a blockage of the formation of Fc + /ClO 4 - ion pair by the formation of an overlayer on top of the film, which essentially shuts down the oxidation of the Fc group. The resulting increase in the film thickness is monitored by X-ray photoelectron spectroscopy (XPS) and by a decrease in the capacitance as monitored by electrochemical impedance spectroscopy. XPS measurements show that the metal ions bind exclusively to the carboxylic acid and that the amide group is not involved in metal binding.
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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) | 0.000 | 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 | 0.000 |
| 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".