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Record W1481341656 · doi:10.1002/mabi.201200482

<scp>BSA</scp>and Fibrinogen Adsorption on Chitosan/κ‐<scp>C</scp>arrageenan Polyelectrolyte Complexes

2013· article· en· W1481341656 on OpenAlexafffund
Thiane N. Carneiro, Denise S. Novaes, Rodrigo Balloni Rabelo, Betül Çelebi‐Saltik, Pascale Chevallier, Diego Mantovani, Marisa Masumi Beppu, Rodrigo Silveira Vieira

Bibliographic record

VenueMacromolecular Bioscience · 2013
Typearticle
Languageen
FieldMaterials Science
TopicNanocomposite Films for Food Packaging
Canadian institutionsUniversité Laval
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoAgence Universitaire de la Francophonie
KeywordsChitosanPolyelectrolyteAdsorptionChemistrySwellingCarrageenanProtein adsorptionFibrinogenPolymer chemistryViability assayChemical engineeringGraftingNuclear chemistryFibroblastBiophysicsCellPolymerBiochemistryOrganic chemistryIn vitro

Abstract

fetched live from OpenAlex

PECs of chitosan/κ-carrageenan are prepared in three different volumetric rations. The complex formation is characterized in order to evaluate the blending formation. Blood compatibility is evaluated by protein adsorption (BSA and fibrinogen) and PEC toxicities are determined with fibroblast cell viability and proliferation. The swelling degree of PECs decreases when the amount of chitosan increases. Due to the linked film formation, PECs decrease BSA adsorption and increase fibrinogen adsorption when compared to the pristine chitosan and κ-carrageenan films. Although pristine chitosan and κ-carrageenan films produced similar cell expansion and viability, the PEC 50:50 vol% chitosan/κ-carrageenan PEC may be acceptable as a new scaffold for cell therapies, due to their effect on cell survival.

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: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

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)0.0010.000

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 head0.007
GPT teacher head0.216
Teacher spread0.209 · 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

Citations28
Published2013
Admission routes2
Has abstractyes

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