Impact of Crosslinking Degree on Chitosan and Oxidized Guar Gum‐Based Injectable Hydrogels for Biomedical Applications
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Evaluating the biodegradability and biocompatibility of hydrogels is essential for identifying materials suitable for biomedical applications. This study describes the fabrication of hydrogels utilizing physiological‐soluble chitosan (N‐succinyl chitosan, NSC) crosslinked with dialdehyde guar gum (Oxidized Galactomannan, OxGM) via the Schiff‐base reaction. Hydrogels with varying volumetric ratios of NSC/OxGM, resulting in distinct NH 2 /CHO functional group ratios and crosslinking degrees, underwent comprehensive characterization using Fourier‐transform infrared spectroscopy (FTIR), X‐ray photoelectron spectroscopy (XPS), thermogravimetric analysis (TGA), swelling, and scanning electron microscopy (SEM). Gelation time (tgel) is assessed by rheological analysis (tgel = G′ > G″), where tgel increased with higher crosslinking density, reaching a maximum value of ≈80 s. Biodegradation analysis in phosphate‐buffered saline (PBS) with lysozyme (13 mg L −1 ) revealed that the crosslinking degree significantly influenced degradation, with lower crosslinking associated with an elevated degradation profile. Moreover, cell viability assays with fibroblastic cells demonstrated minimal cytotoxicity, but an increase in free aldehyde groups correlated with decreased cell viability. For the 75C25C hydrogel, the compressive test yielded a Young's modulus value of 67.2 kPa (±8.5). These results imply that the hydrogels developed exhibit favorable biodegradability and biocompatibility, making them promising candidates for diverse biomedical applications.
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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 | 0.000 | 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 it