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Record W3216575869 · doi:10.1111/jfpp.16080

A micro/nanofiber antibacterial pad with core–shell structure for cold fresh lamb preservation

2021· article· en· W3216575869 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.

Bibliographic record

VenueJournal of Food Processing and Preservation · 2021
Typearticle
Languageen
FieldMaterials Science
TopicElectrospun Nanofibers in Biomedical Applications
Canadian institutionsUniversity of Alberta
FundersNational Natural Science Foundation of China
KeywordsNanofiberCore (optical fiber)Shell (structure)Food scienceChemistryMaterials scienceComposite material

Abstract

fetched live from OpenAlex

In this work, a micro/nanofiber antibacterial pad with a core–shell structure was successfully designed to extend the shelf life of the cold fresh lambs. The micro/nanofiber was prepared by electrostatic spinning using polylactic acid as the shell and Eudragit L 100–55 as the core, and 0.4% (w/w) tea polyphenols (TP) as an antibacterial agent was encapsulated in the core section. Release behavior showed that TP could be effectively protected in an acidic environment to achieve a slow-release effect. The antibacterial experiment revealed that the antibacterial rates of the coaxial antibacterial pad containing 0.4% TP against Escherichia coli and Staphylococcus aureus were 73% and 53.88%, respectively. As a result, freshness preservation experiments, using an antibacterial pad with the core–shell structure, could extend the shelf life of the cold fresh lamb. Novelty impact statement The micro/nanofiber antibacterial pad with a core–shell structure was prepared. The antibacterial pad with a core–shell structure could control the slow release of tea polyphenols. The micro/nanofiber antibacterial pad could extend the shelf life of the cold fresh lamb.

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)0.000
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 score0.105
Threshold uncertainty score0.439

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 communication0.0000.001
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 head0.020
GPT teacher head0.260
Teacher spread0.241 · 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