Out-of-plane microvalves for whole blood separation on lab-on-a-CD
Bibliographic record
Abstract
The emergence of lab-on-a-CD technology provides a centrifugal and compact platform for high throughput blood analysis in point-of-care (POC) diagnostics. Blood separation of the whole blood is the first step for clinical blood diagnosis. This paper describes a novel design of an out-of-plane microvalve that enables high performance of whole blood separation on lab-on-a-CD centrifugal devices. In our lab-on-a-CD design, blood cells and plasma are redistributed into a downstream sedimentation reservoir and an upstream supernatant reservoir, respectively, when the device spins. By tuning the rotational speed, the ‘close’ or ‘open’ status of an out-of-plane microvalve embedded in the lab-on-a-CD device is controlled to isolate these two reservoirs. Compared with a similar design but without the out-of-plane microvalve, this novel microvalve structure can effectively prevent blood cells from diffusing back to the supernatant reservoir containing pure plasma, and thus improve the performance of blood separation as well as subsequent blood analysis. We demonstrate that the lab-on-a-CD device with out-of-plane microvalves can achieve 99.9% plasma purity and 96 ± 0.5% plasma yield for the whole blood. Because of its simple structure and easily controlled working mechanism, the out-of-plane microvalve not only leads to high performance of whole blood separation, but also makes the manufacturing of this type of lab-on-a-CD device easy and inexpensive. If integrated into some existing lab-on-a-CD devices, the out-of-plane microvalve may also help improve their performance.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".