Scalable, Membrane‐Based Microfluidic Passive Cross‐Flow Platform for Monodispersed, Water‐in‐Water Microdroplet Production
Why this work is in the frame
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Bibliographic record
Abstract
Abstract The generation of water‐in‐water droplets has recently received great attention for its applicability in biological applications over traditional oil‐water droplet systems because of their high biocompatibility. An aqueous two‐phase system (ATPS), aqueous mixture of polyethylene glycol (PEG) and dextran (DEX), has an ultra‐low interfacial tension which makes monodispersed droplet formation challenging. Recent passive methods in microfluidics with flow‐focusing configurations overcome this challenge, but they suffer either from polydispersity, narrow droplet size range, or low throughput. Successful droplet formation in such passive methods occurs in jetting flow regimes with low continuous phase flowrates, Q c < 1 μL min ‐1 . Gravity‐driven hydrostatic or highly precise pressure flow control has been used to apply constant, low flowrates that conventional syringe pumps struggle to emulate. Here, a new passive cross‐flow configuration is introduced to generate monodispersed ATPS droplets. The microfluidic device developed by the authors is membrane‐integrated with constant flowrate syringe pumps. Additionally, the membrane with three uniform pores enables this device to operate as a parallel system capable of three controlled droplet formations simultaneously, with a wide range of monodispersed droplet diameters from ≈17 to 90 μm (coefficient of variation, CV ≤ 5%) and from ≈90 to 180 μm (CV ≤ 10%).
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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 | 0.000 |
| 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) | 0.000 | 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 it