Encapsulation and Controlled Release of Recombinant Human Erythropoietin from Chitosan-Carrageenan Nanoparticles
Bibliographic record
Abstract
Novel chitosan-carrageenan nanoparticles were produced through the process of ionotropic gelation for the encapsulation and controlled release of recombinant human erythropoietin (rHu-EPO). The effects of chitosan concentration, chitosan to carrageenan mass ratio and solution pH on the nanoparticle diameter, polydispersity and surface charge were explored through both screening and response surface modeling (RSM) methods. The chitosan-carrageenan nanoparticles created had particle diameters between 200 and 1000 nm, surfaces charges between 40 and 55 mV, and polydispersity between 0.2 and 0.35. RSM optimized chitosan-carrageenan nanoparticles demonstrated an increased rHu-EPO encapsulation efficiency of 47.97 ± 4.10% and a more sustained in vitro release of ~50% over a 2 week period when compared to previous nano/microparticle delivery systems. Studies on the effect of surface charge and chitosan molecular weight on the encapsulation and controlled release of rHu-EPO revealed that increasing either led to improved encapsulation efficiency and reduced release rate.
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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) | 0.000 | 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 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".