Integrated Microfluidic Electrophoresis System for Analysis of Genetic Materials Using Signal Amplification Methods
Bibliographic record
Abstract
An isothermal signal amplification technique for specific DNA sequences, known as cycling probe technology (CPT), was performed within a microfluidic chip. The presence of DNA from methicillin-resistant Staphylococcus aureus was determined by signal amplification of a specific DNA sequence. The microfluidic device consisted of four channels intersecting to mix the sample and reagents within 55 s, as they were directed toward the reactor coil by electrokinetic pumping. The 160-nL CPT reactor occupied approximately 220 mm2. Gel-free capillary electrophoresis separation of the biotin- and fluorescein-labeled probe from the probe fragments was performed on-chip following the on-chip reaction. An off-chip CPT reaction, with on-chip separation gave a detection limit of 2 fM (0.03 amol) target DNA and an amplification factor of 85,000. Calibration curves, linear at <5% probe fragmentation, obeyed a power law relationship with an argument of 0.5 [target] at higher target DNA concentrations for both on-chip and off-chip CPT reaction and analysis. An amplification factor of 42,000 at 250 fM target (25,000 target molecules) was observed on-chip, but the reaction was approximately 4 times less sensitive than off-chip under the conditions used. Relative SD values for on-chip CPT were 0.8% for the peak migration times, 9% for the area of intact probe peak, and 8% for the fragment/probe peak area ratio.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".