Development of novel polysaccharide derived hybrid microcellular biocomposite and evaluation of cytotoxicity
Bibliographic record
Abstract
Polysaccharide has become one of the most promising resources to substitute synthetic plastics because of its wide abundance, renewability, low cost and near-zero carbon footprint. In this work, a novel polysaccharide-derived biopolymer has been investigated as a potential candidate in developing hybrid biocomposite foam. Through the study of microcellular morphology and thermal degradation behaviour, an optimised processing methodology was identified. A synergistic technique of ball milling of modified biopolymer granules and two-step foam processing resulted in achieving reduced particle sizes, narrower particle size distribution and improved dispersion of biopolymer, which in turn resulted in enhanced microcellular morphology within the hybrid biocomposite foam. Considering the renewed interest for such bio-based materials and their potential use as reinforcements and fillers, a much needed study was undertaken to assess its health safety in terms of in vitro biocompatibility and cytotoxicity. The results from the studies indicated that modified biopolymer did not pose any health safety risks and were non-cytotoxic.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".