Functional nucleic acid biosensors utilizing rolling circle amplification
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
Functional nucleic acids (FNAs), including DNA aptamers and DNAzymes, are finding increasing use as molecular recognition elements for point-of-care (POC) assays and sensors. An ongoing challenge in the development of FNA-based POC sensors is the ability to achieve detection of low levels of analyte without compromising assay time and ease of use. Rolling circle amplification (RCA) is a leading nucleic acid (NA) isothermal amplification method which can be coupled with FNAs for the ultrasensitive detection of non-NA targets. Herein we examine the key considerations required when designing FNA-coupled biosensors utilizing RCA. Specifically, we describe methods for using FNAs as inputs to regulate RCA, various modes of RCA amplification, and methods to detect the output of the RCA reaction, along with how these can be combined to allow detection of non-NA targets. Recent progress on development of portable optical and electrochemical POC devices that incorporate RCA is then described, followed by a summary of key challenges and opportunities in the field.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| 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 | 0.001 | 0.001 |
| 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