Characterization of sodium carboxymethyl cellulose/calcium alginate scaffold loaded with curcumin in skin tissue engineering
Bibliographic record
Abstract
Abstract Applying biological macromolecule like curcumin (CUC) has gained considerable attention for the anti‐inflammatory, antioxidant, antimicrobial and antitumor properties. Therefore, this study was carried out to characterize carboxymethylcellulose/calcium alginate (CMC/CA) scaffold loaded with CUC in skin tissue engineering. To observe the structural, mechanical, degradability, biological and antibacterial effect of CUC, it was loaded in a cellulose‐based electrospinning scaffold of sodium CMC (SCMC) with CA. The addition of CUC increased the fiber diameter to 504 ± 83, and 522 ± 25 nm in 3% and 5% of CUC concentrations, respectively. The elasticity of the scaffold was enhanced, while the scaffold strength was decreased slightly. The inhibitory zone in the scaffold containing CUC denoted to its antibacterial properties. In addition, the cell viability, proliferation and attachment to the electrospun scaffolds were increased. Utilization of CUC‐loaded materials can play an important role in anti‐bacterial performance of the scaffold. Although mechanical properties of SCMC may slightly decreased during the loading process, but the morphological, chemical, and biological properties were improved. It seems that applying electrospinning technique and CUC incorporation in fabricated scaffolds can be a promising choice in skin tissue engineering when antibacterial properties are also targeted in conjunction with the tensile strength.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".