Exploiting the Interaction of Metal Ions and Peptide Nucleic Acids−DNA Duplexes for the Detection of a Single Nucleotide Mismatch by Electrochemical Impedance Spectroscopy
Bibliographic record
Abstract
The interaction of the metal ions Mg(2+), Zn(2+), Ni(2+), and Co(2+) with DNA-peptide nucleic acid (PNA) films on a gold surface is studied by electrochemical impedance spectroscopy in the presence of [Fe(CN)(6)](3-/4-) as the redox probe. Impedance data were analyzed with the help of a modified Randles' equivalent circuit. Changes in the charge-transfer resistance, R(CT), decreases in the order of Ni(2+) > Co(2+) > Zn(2+) > Mg(2+). We interpret these results in terms of stronger interactions for Ni(2+) with the DNA-PNA film compared to the other metal ions, potentially involving interactions with the nucleobases, presumably with the N7 of purines or the N3 of pyrimidines. On the basis of these observations, Ni(2+) was chosen to probe the detection of a C-T mismatch in 15-mer PNA-DNA films. Using Ni(2+), it is possible to detect a single C-T mismatch. The resulting DeltaR(CT) is larger for the PNA-DNA hybrid compared to that for the identical 15-mer DNA-DNA hybrid.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".