Ferrocene-peptido conjugates: From synthesis to sensory applications
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The field of chemical and biological sensing is increasingly dependent on the availability of new functional materials that enhance the ability of the system to respond to chemical interactions. Organometallic bioconjugates derived from amino acids, peptides, proteins, peptide nucleic acids, and dendrimers have had a profound effect in this area and have endowed modern sensory systems with a superior performance. Owing to their fairly high stability, solubility in various solvents, and excellent redox properties, ferrocene and ferrocenyl conjugates have emerged as one of the most important classes of materials that enable direct observation of molecular interactions and as electron mediators. The low potential, reversible redox behavior of the ferrocene/ferrocenium couple is a unique property that finds widespread application in the design of sensory platforms. Currently, there is significant drive to exploit new organometallic systems, in which the presence of ferrocene acting as a redox center is critical and allows the design of highly sensitive electrochemical sensors for the sensing and recognition of a vast array of analytes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.013 | 0.003 |
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 it