Unlabeled Hairpin-DNA Probe for the Detection of Single-Nucleotide Mismatches by Electrochemical Impedance Spectroscopy
Bibliographic record
Abstract
An unlabeled hairpin-DNA probe was used for the detection of eight single-nucleotide mismatches by electrochemical impedance spectroscopy (EIS). Upon hybridization of the target strand with the hairpin DNA probe, the stem-loop structure is opened and forms a duplex DNA. Accordingly, the film thickness is increased, which causes differences in the electrical properties of the film before and after hybridization. Randles equivalent circuits were employed to evaluate the EIS result. The differences in the charge-transfer resistance DeltaR(CT) between hairpin DNA (before hybridization) and duplex DNA (after hybridization) shows the consequence of a large structural rearrangement from hairpin to duplex. If a single-nucleotide mismatch is present in the center of the duplex, the difference in charge-transfer resistance DeltaR(CT) between B-DNA in the absence and presence of Zn(2+) allows the unequivocal detection of all eight single-nucleotide mismatches. The detection limit was measured, and DeltaR(CT) allows the discrimination of a single-nucleotide mismatch with the concentration of the target strand as low as 10 pM.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.004 | 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".