On Formation of Uniform Microspheres for Drug Delivery Using a Perforated Silicon Membrane: A Preliminary Study
Bibliographic record
Abstract
A novel method to generate uniform biodegradable microspheres for drug delivery applications has been developed. A liquid phase containing the dissolved microsphere matrix material reaches a continuous phase through a silicon membrane with micron-sized perforations, where it forms microdroplets. The solvent diffuses out of the droplets into the continuous phase leading to the formation of solid microspheres. Experiments with poly (lactic-co-glycolic acid) (PLGA) as the matrix material produced microspheres of which 95% had a diameter between 1 and 2μm, a smaller size and a narrower size distribution than those reported elsewhere using glass or ceramic membranes. Such microspheres will be useful for the intravascular application and pharmaceutical drug delivery with a slow release of the drug at narrowly defined rates. Drug desorption and biodegradation rates induce controllable drug release from functionalized biodegradable microspheres. Those rates are directly proportional to microsphere size. One problem in conventional methods is how to achieve a desired average size and a narrow size distribution of the microspheres. Using a perforated silicon membrane, the size of the microdroplets mainly depends on the pore size and the speed of the continuous phase. By controlling these two parameters, it will be possible to fabricate monodisperse microspheres. The MEMS based approach to microsphere fabrication provided in this paper allows a better control over microsphere dimensions and therefore better control over drug delivery than those reported elsewhere.
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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 | 0.002 | 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 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".