A DNA Barcode‐Based Aptasensor Enables Rapid Testing of Porcine Epidemic Diarrhea Viruses in Swine Saliva Using Electrochemical Readout
Bibliographic record
Abstract
Abstract Pen‐side testing of farm animals for infectious diseases is critical for preventing transmission in herds and providing timely intervention. However, most existing pathogen tests have to be conducted in centralized labs with sample‐to‐result times of 2–4 days. Herein we introduce a test that uses a dual‐electrode electrochemical chip (DEE‐Chip) and a barcode‐releasing electroactive aptamer for rapid on‐farm detection of porcine epidemic diarrhea viruses (PEDv). The sensor exploits inter‐electrode spacing reduction and active field mediated transport to accelerate barcode movement from electroactive aptamers to the detection electrode, thus expediting assay operation. The test yielded a clinically relevant limit‐of‐detection of 6 nM (0.37 μg mL−1) in saliva‐spiked PEDv samples. Clinical evaluation of this biosensor with 12 porcine saliva samples demonstrated a diagnostic sensitivity of 83 % and specificity of 100 % with a concordance value of 92 % at an analysis time of one hour.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".