Droplet Microfluidic Chip Based Nucleic Acid Amplification and Real-Time Detection of Influenza Viruses
Bibliographic record
Abstract
L) volume regime. Electro-actuation of sample and reagent in the form of droplets in the aforementioned volume regime, using dielectrophoresis (DEP) and/or Electrowetting (EW) are achieved by means of patterned, insulated metal electrodes on one or more substrates. In this work, we have utilized electro-actuation based DMF technology, integrated with suitably tailored resistive micro-heaters and temperature sensors, to achieve chip based real-time, quantitative PCR (qRT-PCR). This qRT-PCR micro-device was utilized to detect and quantify the presence of influenza A and C virus nucleic acids, using in-vitro synthesized viral RNA segments. The experimental analysis of the DMF micro-device confirms its capabilities in qRT-PCR based detection and quantification of pathogen samples, with accuracy levels comparable to established commercial bench-top equipment (PCR efficiency ∼95%). The limit of detection (LOD) of the chip based qRT-PCR technique was estimated to be ∼5 copies of template RNA per PCR reaction.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".