Low-Cost Dielectrophoresis-Based Microfluidic Chip for Label-Free Particle Separation with 3D Electrodes
Bibliographic record
Abstract
In this article, an easy and low-cost fabrication method for microfluidic chips with 3D electrodes is proposed. As an application of this method, the fabricated chip has been employed as a particle separator using the dielectrophoresis force. This new design does not require a sheath current, and the separation can be done only by using an injection pump, which reduces cost and complexity. The developed microfluidic channel and electrodes are engraved simultaneously using a laser, and therefore the depth of the channel and the electrodes are equal, which increases the efficiency of the chip. Then the electrodes' engraved regions were filled up by silver paste to the level of that of the microchannel. This structure is used to separate live and dead yeast cells using dielectrophoresis force, generated efficiently throughout the channel using 3D electrodes. Simulations and experimental results, both confirm the effective performance of the microfluidic chip in this design.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 teacher head, 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".