Injectable hydrogels embedded with alginate microspheres for controlled delivery of bone morphogenetic protein-2
Bibliographic record
Abstract
Some delivery carriers with injectable characteristics were built using the thermosensitive chitosan/dextran-polylactide/glycerophosphate hydrogel and selected alginate microspheres for the controllable release of bone morphogenetic protein-2 (BMP-2). BMP-2 was first loaded into the microspheres with an average size of around 20 μm and the resulting microspheres were then embedded into the gel in order to achieve well-controlled BMP-2 release. The microsphere-embedded gels show their incipient gelation temperature at around 32 °C and pH at about 7.1. Some gels had their elastic modulus close to 1400 Pa and the ratio of elastic modulus to viscous modulus at around 34, revealing that they behaved like mechanically strong gels. Optimized microsphere-embedded gels were found to be able to administer the BMP-2 release without significant initial burst release in an approximately linear manner over a period of time longer than four weeks. The release rate and the released amount of BMP-2 from these gels could be regulated individually or cooperatively by the initial BMP-2 load and the dextran-polylactide content in the gels. Measurements of the BMP-2 induced alkaline phosphatase activity in C2C12 cells confirmed that C2C12 cells responded to BMP-2 in a dose-dependent way and the released BMP-2 from the microsphere-embedded gels well retained their bioactivity. In vivo assessment of some gels revealed that the released BMP-2 maintained its osteogenesis functions.
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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 | 0.000 | 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".