An electrokinetic microdevice for isolation and quantification of circulating cell-free DNA from physiological samples
Bibliographic record
Abstract
This study reports a hybrid electrokinetic microdevice for rapid concentration and detection of circulating cell-free (cf)DNA. Rapid molecular analysis of cfDNA has the potential to change the current practice of medicine, such as in cancer diagnostics and in monitoring the efficacy of cancer treatments. With a combination of AC electrothermal flow and dielectrophoresis, the hybrid electrokinetic microdevice efficiently concentrates cfDNA from blood plasma and other physiological fluids. In this design, the long-range AC electrothermal flow, which is effective in conductive fluids, drives the cfDNA towards the center of the electrode where dielectrophoretic trapping of the cfDNA occurs. Once the cfDNA is collected at the electrode, the concentration in the blood sample can be quantified by fluorescence analysis with an intercalating dye that binds specifically to double-stranded DNA. The effects of the electrokinetic parameters were elucidated to optimize the design of the device. The device was demonstrated to separate high molecular weight DNA from low molecular weight DNA. Quantitative detection of clinically relevant concentrations of cfDNA was achieved in 10 minutes.
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".