Surface Immobilization of Structure-Switching DNA Aptamers on Macroporous Sol−Gel-Derived Films for Solid-Phase Biosensing Applications
Bibliographic record
Abstract
Structure-switching signaling aptamers (ss-aptamers) are single-stranded DNA molecules that are generated through in vitro selection and have the ability to switch between a duplex composed of a quencher-labeled DNA strand (QDNA) hybridized adjacent to a fluorophore label on the aptamer, and an aptamer-target complex wherein the QDNA strand is released, generating a fluorescence signal. While such species have recently emerged as promising biological recognition and signaling elements, very little has been done to evaluate their potential for solid-phase assays. In this study, we demonstrate that high surface area, sol-gel-derived macroporous silica films are suitable platforms for high-density affinity-based immobilization of functional ss-aptamer molecules, allowing for binding of both large and small target analytes with robust signal development. These films are formed using a poly(ethylene glycol) (PEG)-doped sodium silicate material, and we show that it is possible to control the pore size distribution and surface area of the silica film by varying the amount of PEG. Materials with the highest surface area are shown to be able to immobilize up to 6-fold more ss-aptamer than planar glass surfaces, providing greater detection sensitivity and somewhat improved detection limits as compared to immobilization on conventional glass. The solid-phase assay is performed using two different structure-switching signaling aptamers with high selectivity for adenosine 5'-triphosphate and platelet-derived growth factor, respectively, demonstrating that this immobilization scheme should be suitable for a variety of target ligands.
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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) | 0.000 | 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".