MétaCan
Menu
Back to cohort
Record W3082873695 · doi:10.1128/aem.01195-20

Active Packaging of Immobilized Zinc Oxide Nanoparticles Controls Campylobacter jejuni in Raw Chicken Meat

2020· article· en· W3082873695 on OpenAlexafffund
Mohammed J. Hakeem, Jinsong Feng, Azadeh Nilghaz, Luyao Ma, Hwai Chuin Seah, Michael E. Konkel, Xiaonan Lu

Bibliographic record

VenueApplied and Environmental Microbiology · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSalmonella and Campylobacter epidemiology
Canadian institutionsMcGill UniversityUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaGovernment of Canada
KeywordsCampylobacterCampylobacter jejuniShelf lifeFood scienceRaw materialFood safetyFood packagingRaw meatFood PreservativesActive packagingPoultry meatFood microbiologyPreservativeChemistryBiologyBacteria

Abstract

fetched live from OpenAlex

Prevalence of Campylobacter in raw poultry remains a major food microbiological safety challenge. Novel mitigation strategies are required to ensure the safety and quality of poultry products. Active food packaging can control pathogens without directly adding antimicrobials into the food matrix and extend the food’s shelf life. The functionalized absorbing pad with ZnO NPs developed in this study was able to inactivate C. jejuni in raw chicken meat and keep the meat free from C. jejuni contamination during shelf life without any observed migration of nanoparticles. The controllable conversion of immobilized ZnO NPs to free Zn 2+ makes this approach safe and eco-friendly and paves the way for developing a novel intervention strategy for other high-risk foods. Our study applied nanotechnology to exploit an effective approach for Campylobacter control in raw chicken meat 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.481
Threshold uncertainty score0.370

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 head0.010
GPT teacher head0.177
Teacher spread0.167 · 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

Citations57
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueApplied and Environmental MicrobiologySame topicSalmonella and Campylobacter epidemiologyFrench-language works237,207