Microfluidic Assembly To Synthesize Dual Enzyme/Oxidation-Responsive Polyester-Based Nanoparticulates with Controlled Sizes for Drug Delivery
Bibliographic record
Abstract
Controlling the size and narrow size distribution of polymer-based nanocarriers for targeted drug delivery is an important parameter that significantly influences their colloidal stability, biodistribution, and targeting ability. Herein, we report a high-throughput microfluidic process to fabricate colloidally stable aqueous nanoparticulate colloids with tunable sizes at 50-150 nm and narrow size distribution. The nanoparticulates are designed with different molecular weight polyesters having both ester bonds (responsive to esterase) and sulfide linkages (to oxidative reaction) on the backbones, thus exhibiting dual esterase/oxidation responses, causing the destabilization of the nanoparticulates to lead to the controlled release of encapsulated therapeutics. The systematic investigation on both microfluidic and formulation parameters enables to control their properties as allowing for decreasing nanoparticulate sizes as well as improving colloidal stability and cytotoxicity. Further to such control over smaller size and narrow size distribution, dual stimuli-responsive degradation and excellent cellular uptake could suggest that the microfluidic nanoparticulates stabilized with polymeric stabilizers could offer the versatility toward dual smart drug delivery exhibiting enhanced release kinetics.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
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 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".