Oligonucleotide-functionalized hydrogels as stimuli responsive materials and biosensors
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Hydrogels are crosslinked hydrophilic polymers that undergo swelling in water. The gel volume is affected by many environmental parameters including temperature, pH, ionic strength, and solvent composition. Therefore, these factors have been traditionally used for making smart hydrogels. DNA, on the other hand, is a special block copolymer. Incorporation of DNA within a hydrogel network can have several important effects. For example, DNA can serve as a reversible crosslinker modulating the mechanical and rheological properties of a hydrogel. Second, DNA can selectively bind to a variety of different molecules. Attaching these binding DNAs (aptamers) to hydrogel makes it possible to expand the range of stimuli to chemical and biological molecules. At the same time, the gel matrix can also improve DNA-based sensors and materials. For example, the hydrogel can be dried for storage and rehydrated prior to use and the immobilized DNAs are protected from nuclease cleavage. The gel backbone property can also be tuned to affect the interaction between DNA and other molecules. The rational functionalization of DNA in hydrogels has generated a diverse range of smart materials and biosensors. In the last 15 years, the field has made tremendous progress and some of the recent developments are summarized in this review. Challenges and possible future directions are also discussed.
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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 it