Electrostatically Adjustable AuNR-Mediated Thermal-Start Isothermal Nucleic Acid Amplification
Bibliographic record
Abstract
Loop-mediated isothermal amplification (LAMP) holds great promise for rapid nucleic acid detection. However, its application is hindered by the notable occurrence of false positives. In this work, gold nanorod (AuNR)-mediated hot start effect, which adsorbs primers and controls the release of single-stranded DNA (ssDNA) primers at about 50 °C, was demonstrated. The AuNR-mediated LAMP reaction for detecting African horse sickness virus (AHSV) showed high selectivity against other DNA fragments, even at high magnesium concentrations. Furthermore, the assay achieves excellent sensitivity with a detection limit of 100 copies/μL. Additionally, the method displays good repeatability from 50 to 65 °C (optimal), and the coefficient of variation of Tt at the same concentration of nucleic acids is less than 5%. Our study optimizes the LAMP reaction using AuNRs, thereby reducing false positives and offering great potential for clinical diagnosis.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".