Applications of ferrocene-peptide conjugates : towards new biosensors and materials
Bibliographic record
Abstract
Ferrocene-peptide conjugates represent a hybrid area between organometallic chemistry and biochemistry. In these bioconjugates, the ferrocene (Fc) moiety can serve as molecular scaffold, chromophore, sensitive probe, biological marker, redox active site, etc. Disubstituted Fc systems, in which both cyclopentadienyl rings are substituted, provide influence over the supramolecular structure of the assemblies, and serve as starting materials for the design of electronic biomaterials. Recently, 1'-amino-ferrocene-1-carboxylic acid (Fca) and 1,1'-diaminoferrocene Fc[NH2]2 were recognized as useful tools in bioorganometallic chemistry. This work sketches some novel preparative and structural aspects of Fc-peptide conjugates and explores their applications as biosensors and as polymeric materials. First, I demonstrated that Fca invariably induces a turn-like structure, which is stable in solution and the solid state. The obtained results showed different behaviour for Fca peptides depending on the chirality and position of the attached amino acid. The axial chirality of the Fca is completely dependent on the chirality of the first amino acid attached to the amino terminal of the Fca group.Second, I was able to develop a surface based sensor for the electrochemical detection of papain based on Fc-peptide conjugates. The idea was to place a surface-bound redox probe in close proximity to the electrode surface. In addition, the redox-active Fca label will be part of the recognition site but will not interfere with the recognition process. My sensor provides an attractive alternative for the electrochemical detection of non-labelled non-redox active proteins, which under current detection schemes remains a significant challenge.This work represents a truly important proof of concept for establishing this novel bioorganometallic approach for the electrochemical detection of important biological targets.Last, I was successful in developing a very convenient method to synthesize 1,1'-bis(tert-butoxycarbonylamino)ferrocene as a stable derivative of Fc[NH2]2. This new synthetic approach has circumvented the problems encountered with the explosive diazide usually used as a precursor in the conventional synthons of Fc[NH2]2. Building on this achievement, a series of novel peptide-like oligomeric and polymeric ferrocenyl-amides were synthesized and fully characterized. The electrochemical investigations on these polymers suggested unresolved or no electronic interaction between the ferrocene groups in all systems. These results may reveal the influence of the amide groups on suppressing the electronic interaction between the iron centers in my polymers. Thus, my systematic work on Fc-peptide conjugates lays solid foundations in the fields of structural control, biosensors, and material science.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 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".