Double Cross-linked Methacrylated Carboxymethyl Pea Starch Cryogels with Highly Compressive Elasticity and Hemostatic Function
Bibliographic record
Abstract
As an abundant renewable natural material, starch has attracted unprecedented interest in the biomedical field. Carboxylated starch particles have been investigated for topical hemostasis, but the powder may not provide physical protection or support for wounds. Here, we prepared macroporous cryogel sponges of methacrylated carboxymethyl starch (CM-ST-MA) containing a covalent and a calcium ionic double network. The second ionic cross-linking network enhanced the compressive strength and toughness dramatically but reduced the swelling ratios. Cryogels and sponges exhibited excellent compressive elasticity at low Ca 2+ concentrations (0.01 M). Cryogels became more plastic and dry sponges became rigid and brittle at high Ca 2+ concentrations. The cryogels have outstanding wet-thermal stability but are still degradable via enzymatic hydrolysis. All CM-ST-MA sponges showed excellent biocompatibility, hemocompatibility, and outstanding hemostasis in in vitro assays. In the in vivo mouse tail amputation model, both CM-ST-MA cryogels without or with Ca 2+ (0.01 M) reduced the blood loss and bleeding time significantly.
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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) | 0.000 | 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".