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Record W1976953038 · doi:10.1177/0021998313509423

Development of novel polysaccharide derived hybrid microcellular biocomposite and evaluation of cytotoxicity

2013· article· en· W1976953038 on OpenAlexaff
Subrata Bandhu Ghosh, Sanchita Bandyopadhyay‐Ghosh, Mohini Sain

Bibliographic record

VenueJournal of Composite Materials · 2013
Typearticle
Languageen
FieldMaterials Science
Topicbiodegradable polymer synthesis and properties
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBiocompositeBiopolymerMaterials scienceBiocompatibilityComposite materialGranule (geology)Composite numberPolymer

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.494

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.040
GPT teacher head0.251
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2013
Admission routes1
Has abstractyes

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