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Record W2103452680 · doi:10.3109/02652048.2012.696153

Encapsulation of folic acid and its stability in sodium alginate-pectin-poly(ethylene oxide) electrospun fibres

2012· article· en· W2103452680 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Microencapsulation · 2012
Typearticle
Languageen
FieldMaterials Science
TopicElectrospun Nanofibers in Biomedical Applications
Canadian institutionsUniversity of Guelph
FundersUniversity of Guelph
KeywordsPectinElectrospinningEthylene oxideGlucuronic acidChemical engineeringSodium alginateMaterials scienceFolic acidChemistryHyaluronic acidNuclear chemistryPolymerPolymer chemistrySodiumOrganic chemistryPolysaccharideBiochemistry

Abstract

fetched live from OpenAlex

In this study, we investigated the effect of alginate-pectin-poly(ethylene oxide) (PEO) electrospun fibres on the stability of folic acid. Fibre-forming solutions containing folic acid were prepared by blending low- or medium-viscosity alginate with pectin. PEO was added to make the electrospinning process possible. Folic acid encapsulated in electrospun fibres achieved close to 100% retention when stored in the dark at pH 3 after 41 days of storage. By contrast, recovery of unencapsulated folic acid was 0% and 8% within the first day when stored at pH 3 in the presence and the absence of light, respectively. Electrospun fibres produced from the combination of alginate-pectin resulted in higher retention of folic acid compared to that of alginate alone. Nucleic magnetic resonance and FTIR results show that folic acid has been encapsulated in electrospun fibres through physical entrapment.

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.

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 score0.225
Threshold uncertainty score0.613

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.013
GPT teacher head0.260
Teacher spread0.247 · 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