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Record W2491452921 · doi:10.1021/bk-2006-0938.ch015

Bacterial Cellulose and Its Nanocomposites for Biomedical Applications

2006· book-chapter· en· W2491452921 on OpenAlexaff
Wan Khairunizam, Jeffrey L. Hutter, Laurie P. Milton, Ganesh Guhados

Bibliographic record

VenueACS symposium series · 2006
Typebook-chapter
Languageen
FieldMaterials Science
TopicElectrospun Nanofibers in Biomedical Applications
Canadian institutionsWestern University
Fundersnot available
KeywordsBacterial celluloseCrystallinityCelluloseNanocompositeMaterials scienceNanomaterialsVinyl alcoholBiocompatible materialFiberCellulose fiberPolymerSynthetic fiberNanotechnologyChemical engineeringComposite materialBiomedical engineering

Abstract

fetched live from OpenAlex

Bacterial cellulose is a natural nanomaterial produced by strains of the bacterium Acetobacter xylinum in static, shaken and agitated cultures. With fiber dimension of ~30 nm and being very hydrophilic, it is ideally suited for a broad range of biomedical applications. The bacterial cellulose fiber has a high degree of crystallinity. Using atomic force microscopy for direct nanomechanical measurement, we have determined that these fibers are very strong and when used in combination with other biocompatible materials, produce nanocomposites suitable for use in medical device applications. In particular, nanocomposites consisting of bacterial cellulose and poly(vinyl alcohol) have been investigated. A broad range of mechanical properties control was demonstrated. Materials with properties closely mimic that of cardiovascular tissues were prepared. These materials are potential candidates as synthetic replacements of natural cardiovascular tissues.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0040.002

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 head0.008
GPT teacher head0.224
Teacher spread0.216 · 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 source (direct Gemma or distilled Codex), 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

Citations78
Published2006
Admission routes1
Has abstractyes

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