Size-Controllable Monodispersed Microsphere Generation by Liquid Chopper Utilizing PZT Actuator
Bibliographic record
Abstract
This paper describes a novel microfluidic method to prepare monodispersed water-in-oil (W/O) microspheres utilizing a piezoelectric actuator. In the main channel, a dispersed phase stream becomes focused and stabilized. In the side channels, oscillating streams are generated by the piezoelectric actuator and flow to the main channel to pinch off the focused stream to form a liquid chopper. By changing the frequencies of the liquid chopper, the size of the W/O microspheres can be successfully controlled in the range of 78.55 - 185.63 μm with very good uniformity (lower than 5% of the coefficient of variation). The present method has the advantages over conventional methods such as hydrodynamic flow focusing and T-junction. The proposed chopper method presents good sphericity, no satellite droplets, and size control of the microspheres.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".