Effects of Microbead Surface Chemistry on DNA Loading and Hybridization Efficiency
Bibliographic record
Abstract
Polymer microbeads are witnessing renewed interest for performing biomolecule recognition assays with distinct advantages over planar microarray technology. In this study, DNA hybridization assays are performed on the surfaces of 1-microm-diameter, synthetically modified polystyrene microbeads. The microbead surfaces contain varying amounts of poly(acrylic acid) as a source of carboxylate groups to which a DNA capture strand may bind. Through a series of controlled experiments in which the microbead carboxylate density and DNA:surface area ratios are systematically altered, we find that the density of carboxylate groups on the microbead surface may be the most important parameter affecting not only the total number of DNA strands that may bind to the microbead surface but, surprisingly, also the efficiency of DNA hybridization with complementary strands. These studies are aimed directly at understanding the physical interactions between DNA strands and an anionic microbead surface.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".