The Influence of Manufacturing Method and Collagen on the Mechanical Performance of Sodium Alginate-Based Scaffolds for Cartilage Tissue Engineering
Bibliographic record
Abstract
Cartilage has limited ability to repair itself making it a good candidate for artificial tissue replacements. Hydrogels such as sodium alginate (SA) have been used in bioprinting and tissue engineering for their favourable properties, however, the mechanical performance of engineered tissue requires improvement. In the present work, the mechanical properties of pure-SA scaffolds were compared with various crosslinking and manufacturing protocols. The results showed that increased amounts of partial crosslinking prior to scaffold fabrication significantly decreased the elastic modulus. This study also showed that the addition of collagen and gelatin significantly decreased the elastic modulus by 42% and 31% respectively. Therefore, pure-SA scaffolds exhibited the most favourable properties with a compressive elastic modulus up to 35.29 kPa and a permeability of 0.3933 x10^-14 m^4/Ns. This study found higher stiffness compared to previous studies, likely due to extended post-print crosslinking time, however additives such as collagen and gelatin decreased the properties.
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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 | 0.001 | 0.001 |
| 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 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".