DNA Origami as a Tool to Design Asymmetric Gold Nanostructures
Bibliographic record
Abstract
DNA origami technology provides a versatile approach for the chemical assembly of gold nanostructures. In this study the bottom-up approach of self-assembly using DNA in the origami process has been successfully applied to arrange five AuNPs asymmetrically. The DNA origami templates were modified to have binding sites that were extended with sticky ends to facilitate the attachment of the AuNPs. With the help of thiol chemistry, the AuNPs which were covered with DNA complementary to the sticky ends introduced on the DNA origami surfaces, we were able to attach the nanoparticles to the designed sites. It was realized that there were slight differences in the designed distances and the determined ones which were accounted for potentially by the deposition of the structures on the grids for imaging. The structures were characterized with gel electrophoresis and TEM. This asymmetric arrangement has the potential of exhibiting plasmonic behavior and circular dichroism when light is incident on the structure.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".