Paper-Based Solid-Phase\nNucleic Acid Hybridization\nAssay Using Immobilized Quantum Dots as Donors in Fluorescence Resonance\nEnergy Transfer
Bibliographic record
Abstract
A paper-based solid-phase assay is presented for transduction\nof\nnucleic acid hybridization using immobilized quantum dots (QDs) as\ndonors in fluorescence resonance energy transfer (FRET). The surface\nof paper was modified with imidazole groups to immobilize QD–probe\noligonucleotide conjugates that were assembled in solution. Green-emitting\nQDs (gQDs) were FRET-paired with Cy3 acceptor. Hybridization of Cy3-labeled\noligonucleotide targets provided the proximity required for FRET-sensitized\nemission from Cy3, which served as an analytical signal. The assay\nexhibited rapid transduction of nucleic acid hybridization within\nminutes. Without any amplification steps, the limit of detection of\nthe assay was found to be 300 fmol with the upper limit of the dynamic\nrange at 5 pmol. The implementation of glutathione-coated QDs for\nthe development of nucleic acid hybridization assay integrated on\na paper-based platform exhibited excellent resistance to nonspecific\nadsorption of oligonucleotides and showed no reduction in the performance\nof the assay in the presence of large quantities of noncomplementary\nDNA. The selectivity of nucleic acid hybridization was demonstrated\nby single-nucleotide polymorphism (SNP) detection at a contrast ratio\nof 19 to 1. The reuse of paper over multiple cycles of hybridization\nand dehybridization was possible, with less than 20% reduction in\nthe performance of the assay in five cycles. This work provides an\nimportant framework for the development of paper-based solid-phase\nQD–FRET nucleic acid hybridization assays that make use of\na ratiometric approach for detection and analysis.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.021 | 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".