Production of BSA-loaded alginate microcapsules: Influence of spray dryer parameters on the microcapsule characteristics and BSA release
Bibliographic record
Abstract
Chronic wounds express elevated levels of proteases, in particular matrix metalloproteinases (MMPs), which degrades de novo granulation tissue and endogenous biologically active proteins. An effective therapeutic approach for chronic wounds would be to modify this hostile environment and reduce the proteolytic imbalance. Doxycycline has been proved recently to inhibit MMPs and used topically for chronic wound ulcers, beyond their antimicrobial profile. To this end, a carrier system for controlled release of doxycycline, suitable for incorporation into various wound dressings like membranes and sponges was developed. In the present study gelatin microspheres, cross-linked with 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide (EDC) was proposed. The cross-linking was carried out with different concentrations of EDC (10 mM, 50 mM and 100 mM) and for different time periods (3-24 h). The cross-linked microspheres were characterized by evaluating the extent of cross-linking, the morphology, swelling behaviour and drug loading and in vitro studies of drug release, enzymatic degradation and biocompatibility. The extent of cross-linking increased as a function of both EDC concentration and the cross-linking time periods. It is found that the extent of cross-linking greatly influences the swelling and drug release behaviour of the microspheres. The cross-linked microspheres were found to be biocompatible to NIH 3T3 mouse embryonic fibroblast. The overall study indicates that the zero length cross-linker EDC can be considered as a potential alternative for cross-linking the gelatin microspheres.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".