140 Development of nanoscale aptamer films for controlled release of encapsulated payloads
Bibliographic record
Abstract
Aptamers are short, single-stranded nucleic acids that fold into well-defined 3D structures which bind to a single target molecule (from small molecules to cells) with affinities and specificities that can rival those of antibodies (Jeong et al., 2009). Unlike antibodies, aptamers can be chemically synthesized eliminating the need for animals or cell culture, which also allows for selection under non-physiological conditions and broadens potential targets to include toxic molecules (Banka & Stockley, 2006). The compatibility of aptamers with nanomaterials, in combination with their affinity, selectivity, and conformational changes upon target interaction, have allowed for the development of a large number of therapeutic and targeted delivery systems in recent years exploiting these properties. Despite this, many challenges still exist as unprotected DNA is readily degraded by nucleases prevalent in biological and environmental systems (Bouchard et al., 2010). Embedding aptamers within multilayer polyelectrolyte films could provide a biodegradable shelter, while allowing the detection of diffusible small molecules. An understanding of these materials will allow for the eventual encapsulation of relevant payloads into aptamer–polyelectrolyte microcapsules towards the development of a controlled release system. In this work, films composed of natural polyelectrolytes chitosan and hyaluronan are employed due to their biocompatibility, strong presence in current literature, and amiability to layer-by-layer film construction. Initial progress towards the development of an aptamer-embedded polyelectrolyte film system will be presented.
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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".