A Flow Focusing Microfluidic Device for Prepolymer Droplet Generation and In-Situ UV Polymerization: Steps Towards Fabricating Imprinted Polymer Microparticles
Bibliographic record
Abstract
This study presents a preliminary micro fluidic approach for towards fabricating ion-imprinted polymer (IIP) microparticles, using flow- focusing droplet generation followed by in-situ UV polymerization. Prepolymer droplets with diameters ranging from 125 to$200 \mu \mathrm{m}$were generated with high monodispersity, achieving a coefficient of variation (CV) below 10%. The effects of continuous phase (C-phase) to dispersed phase (D-phase) flowrate ratio, along with variations in crosslinker and photo initiator concentrations in the prepolymer formulation, were systematically investigated. Results showed that droplet and particle sizes were primarily influenced by flowrate ratio and photo initiator concentration, while crosslinker content had a more pronounced effect on droplet formation. This work provides valuable insights into the controlled synthesis of IIP particles via micro fluidics in the future.
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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) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".