Droplet Microfluidics with Aqueous Two-Phase Systems for Cell Encapsulation and Drug Delivery
Bibliographic record
Abstract
In this thesis, microfluidic platforms based on aqueous two-phase systems (ATPS) are developed. First, it is shown that exploiting affinity partitioning of particles, to the interface of an ATPS, enables the generation of particle stabilized water-in-water emulsions within a microfluidic platform. The process of droplet coverage is studied, and it is shown that the coverage of the droplets can be tuned by varying the size and the concentration of the particles used. Then, it is shown that integrating ionic cross-linking of alginate and calcium chloride, within the ATPS, can lead to the generation of spiky microparticles. The length of spikes on the microparticles can be tuned by changing the concentration of the calcium chloride solution. Particle-stabilized emulsions, and the spiky microparticles may have different biotechnological applications, for instance, for cell encapsulation, and drug delivery applications respectively.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".