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Record W7081994959 · doi:10.1177/26416549251366861

Phage-Loaded Electrospun Nonwovens with Antimicrobial Properties Against <i>Salmonella</i> Enteritidis

2025· article· en· W7081994959 on OpenAlexaff

Bibliographic record

VenuePHAGE · 2025
Typearticle
Languageen
FieldMedicine
TopicAssisted Reproductive Technology and Twin Pregnancy
Canadian institutionsUniversity of GuelphAgriculture and Agri-Food Canada
Fundersnot available
KeywordsAntimicrobialLytic cycleBacteriaPathogenic bacteriaAnti-Infective AgentsStaphylococcus aureus

Abstract

fetched live from OpenAlex

Background: Lytic phages are viruses that specifically infect and kill bacteria with high specificity. As such, phages have been proposed as natural antimicrobials in different settings, including antimicrobial food packaging applications. Materials and Methods: A Salmonella phage cocktail was encapsulated in poly(ethylene oxide) (PEO) nonwovens microfibers using free-surface electrospinning. The nonwovens were characterized by their morphology, phage release rate, shelf-life, antimicobial activity, and effect on phyisical meat properties. Results: The phage-loaded nonwoven contained 6–7 log 10 PFU/mg and demonstrated efficient phage transfer to raw meats of &gt;90%, reaching concentrations of up to 6 log 10 PFU/cm 2 . This resulted in a reduction of Salmonella by 2 log 10 CFU/cm 2 after 24 h at 25°C and 15°C compared with the control. Treatment of chicken fillets with the phage-loaded PEO nonwoven did not cause changes on the physical properties of the meat. Conclusions: This study demonstrates that electrospinning is a feasible strategy to develop phage-loaded packaging materials to reduce the loads of Salmonella in poultry products.

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)0.000
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 score0.046
Threshold uncertainty score0.717

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.009
GPT teacher head0.230
Teacher spread0.221 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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