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Record W4399779656 · doi:10.1002/pts.2830

“Sandwich” Structure (PLA/Thymol Fibre Membranes/SAP/Paper Fibre) Antibacterial Pad for Preservation of Chilled Mutton

2024· article· en· W4399779656 on OpenAlexaff
Minmin Xu, Lingling Wu, Chaozi Wang, Marleny D.A. Saldaña, Wenxiu Sun

Bibliographic record

VenuePackaging Technology and Science · 2024
Typearticle
Languageen
FieldChemistry
TopicAntimicrobial agents and applications
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsThymolMembraneAntibacterial activityFood scienceChemistrySpinningMaterials scienceComposite materialBacteriaBiochemistryBiology

Abstract

fetched live from OpenAlex

ABSTRACT The antibacterial pad was developed to solve the preservation problem of chilled mutton. The antibacterial pad was a “Sandwich” structure (PLA/thymol fibre membranes/SAP/paper fibre), which could absorb water and inhibit bacteria. The fibre membranes are prepared by electrostatic spinning technology. The successful incorporation of thymol into the fibre membranes was proved by FTIR, SEM and water contact angle analysis. The release experiment showed that the fibre membranes (PLA/thymol) had a slow‐release effect, especially in fatty food simulants. According to the antibacterial experiment, the antibacterial pad had a significant inhibition effect on Escherichia coli and Staphylococcus aureus (the inhibition zone was 25 ~ 26 mm). In addition, the total viable count, total volatile alkaline nitrogen, pH value and drip loss showed that the antibacterial pads could effectively extend the shelf life of chilled mutton for 6 days. Therefore, the antibacterial pad has broad application prospects in meat preservation.

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 score0.000
Threshold uncertainty score0.002

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)0.0000.000

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 head0.008
GPT teacher head0.249
Teacher spread0.242 · 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

Citations4
Published2024
Admission routes1
Has abstractyes

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