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Record W4283326252 · doi:10.1002/app.52775

Study of the in vitro degradation and characterization of the <scp>HaCat</scp> keratinocytes adherence on electrospun scaffolds based polyvinyl alcohol/sodium alginate

2022· article· en· W4283326252 on OpenAlexfundno aff
Albanelly Soto‐Quintero, Patricia González‐Alva, Alba Covelo, M. Hernández

Bibliographic record

VenueJournal of Applied Polymer Science · 2022
Typearticle
Languageen
FieldMaterials Science
TopicElectrospun Nanofibers in Biomedical Applications
Canadian institutionsnot available
FundersDirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de MéxicoCanadian Institute for Theoretical Astrophysics
KeywordsHaCaTPolyvinyl alcoholElectrospinningMaterials scienceAdhesionBiomaterialDegradation (telecommunications)Surface roughnessBiomedical engineeringSodium alginateChemistryPolymerIn vitroComposite materialNanotechnologySodiumBiochemistry

Abstract

fetched live from OpenAlex

Abstract Biomaterial scaffolds house and direct cells to grow, exposing them to appropriate growth factors. Most of them are designed to degrade at a controlled rate as the new host tissue replaces them. Here, we show that scaffolds obtained through electrospinning of PVA with 3.5, 4.0, and 5.0 wt% of SA showed a gradual degradation rate under physiological conditions during 100 days of incubation. This behavior is proportional to the SA concentration used, with a mass loss of (41%, 47%, and 49% for each system) after 60 days. Moreover, the dielectric properties (EIS) of the scaffolds correlate with their degradation rate throughout the exposition period (100 days), as indicated by the observed decrease in resistance over time. The 4.0 wt% system showed the lowest capacitance value (1.5 10–5 F) and the highest resistance (4.6106 ohm‐cm2) behavior among all concentrations. Additionally, the morphological analysis through SEM and AFM showed a shrank in the surface morphology after the degradation process and determined the degree of roughness (Ra). Higher roughness prior to the cytocompatibility test promoted increased proliferation and adhesion of HaCat cells, as observed in the 4.0 wt% PVA/SA system (1422 nm Ra). These biomaterials have great potential in wound dressing applications.

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 score0.036
Threshold uncertainty score0.396

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.010
GPT teacher head0.240
Teacher spread0.230 · 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

Citations14
Published2022
Admission routes1
Has abstractyes

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