Stable Gold Nanoparticle Conjugation to Internal DNA Positions: Facile Generation of Discrete Gold Nanoparticle−DNA Assemblies
Bibliographic record
Abstract
A straightforward strategy to stably anchor one or more gold nanoparticles (AuNPs) at both the internal and terminal positions of single-stranded DNA is presented. Discrete DNA-AuNP conjugates are isolated using a noncovalent extension strand strategy, that helps to resolve prepared species by agarose gel electrophoresis (AGE). These are used to assemble well-defined AuNP squares and rectangles. Two complementary bis-AuNP-labeled DNA conjugates are then prepared. One of these places two smaller (5 nm) AuNPs at defined internal positions within a DNA strand, and the other places two larger (13 nm) AuNPs at each of its terminal positions. We show the self-assembly of these bis-AuNP conjugates into a tapered tetrameric gold nanoparticle "antenna" structures of direct relevance to engineered "hot spots" and surface enhanced Raman scattering (SERS) substrates.
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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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".