An aptamer-based point-of-care diagnostic test strip for rapid diagnosis of surface spike proteins of SARS-CoV2 virus
Bibliographic record
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) has been identified as the causative agent for the COVID-19 pandemic. Herein, we report the development of a point-of-care diagnostic (POC) test strip for rapid and specific diagnosis of surface spike protein (S-protein) of SARS-CoV2 virus, as a target analyte for the virus diagnosis. The test detects changes in the physicochemical properties of gold nanoparticles with the utility of a DNA aptamer that is specifically selected for binding to the receptor-binding domain (RBD) of S-protein of SARS-CoV-2. Structural changes in aptamer enables the aggregation/disaggregation of gold nanoparticles in the absence/presence of the target analyte, respectively. Lateral flow assays were utilized to visualize results and stratify positive samples (containing viral S-protein) from negative samples (blank) with high specificity and sensitivity (1–10 nM). The proposed sensing technology was successfully developed for rapid quantification of SARS-CoV2 S-protein; however, it can be further adapted to detect variants, viral DNA/RNA, and other targets, enabling the development of POC devices for multiplexing assays.
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.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| 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".