Natural Cellulose-Chitosan Cross-Linked Superabsorbent Hydrogels with Superior Swelling Properties
Bibliographic record
Abstract
We have developed a new, aqueous-based process for production of superabsorbent materials that is catalyst-free and eco-friendly as the superabsorbent was derived from two completely biodegradable polymers with water as the only byproduct. The new hydrogels were obtained by cross-linking partially oxidized bleached kraft pulp fibers with carboxymethylated chitosan. In distilled water, the maximum water retention value (WRV) of the cross-linked hydrogels reached 610 (g/g gel), which is several times higher than any neat cellulose-based superabsorbent material reported in the literature. In saline water, the WRV of the new hydrogels (85 g/g) doubled that of commercial gels (40–50 g/g). In the presence of potassium or ammonium cations, the WRV increased further to reach 91 and 96 g/g, respectively. Gels only lost 5–10% of their reswelling capacity when reused four consecutive times. The hydrogels had high porous architecture and specific surface area that facilitates rapid mass penetration in superabsorbent applications. Due to their superior swelling properties, reusability, and biodegradable nature, the new hydrogels could serve as strong candidates to replace synthetic petroleum-derived polymers and find uses in high-value hygiene, food, agricultural, and pharmaceutical products.
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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) | 0.001 | 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".