MétaCan
Menu
Back to cohort
Record W4391386979 · doi:10.1002/app.55163

Bacterial cellulose: A comprehensive review

2024· review· en· W4391386979 on OpenAlexafffund
Vincent‐Daniel Girard, Jérémie Chaussé, Patrick Vermette

Bibliographic record

VenueJournal of Applied Polymer Science · 2024
Typereview
Languageen
FieldMaterials Science
TopicAdvanced Cellulose Research Studies
Canadian institutionsUniversité de Sherbrooke
FundersMitacs
KeywordsBiocompatibilityBiochemical engineeringBacterial celluloseNanotechnologyTextileCelluloseBiocompatible materialMaterials scienceProcess engineeringEngineeringChemical engineeringBiomedical engineeringComposite material

Abstract

fetched live from OpenAlex

Abstract This review article provides a comprehensive overview of bacterial cellulose (BC), focusing on its physicochemical properties, production methods, purification techniques, and applications. It aims at providing a nuanced understanding of the current state of knowledge in those fields and bridging the gap between academic research and industrial applications. The physicochemical properties of BC, including its chemical structure, morphology, thermal properties, mechanical properties (such as tensile and compression properties), specific surface area, cytotoxicity, and biocompatibility, are discussed. Production methods of BC, including microorganism comparison, culture conditions, and vessel types, are thoroughly explored. Purification methods and sterilization techniques for BC are also addressed. Furthermore, the review highlights industries and applications that have shown interest in BC along with commercially available products, including medical, cosmetic, textile, food ingredients, and scaffolds in cell culture. A conclusion summarizes key findings and potential future directions in BC research and development.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.056
GPT teacher head0.377
Teacher spread0.322 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations184
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Applied Polymer ScienceSame topicAdvanced Cellulose Research StudiesFrench-language works237,207