MétaCan
Menu
Back to cohort
Record W4402540778 · doi:10.1093/jas/skae234.265

79 Microbiological effects of control measures during pork production

2024· article· en· W4402540778 on OpenAlexaffabout
Xianqin Yang, Hui Wang, Frances Tran, Tim A. McAllister, Kim Stanford

Bibliographic record

VenueJournal of Animal Science · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Metabolism and Applications
Canadian institutionsUniversity of LethbridgeAgriculture and Agri-Food Canada
Fundersnot available
KeywordsProduction (economics)Food scienceControl (management)BiotechnologyAnimal scienceEnvironmental scienceBiologyComputer scienceEconomicsArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract The objective of this study was to determine the prevalence of Shiga toxin-producing Escherichia coli (STEC) O157:H7 and efficacy of control measures at a pork processing facility. Outbreaks of E. coli O157:H7 associated with pork, though not common globally, have been reported multiple times in recent years in Alberta. Sampling at a commercial facility processing hogs was carried out at monthly intervals for 11 mo. At the facility, the dressed carcasses are sprayed with 5% lactic acid (LA) and immediately air-chilled after the LA spray. At each sampling time, 14 different types of samples were collected: dirt from the holding pen floor (n = 2), gloves of workers (n = 5), scalding water (n = 1), tonsils (n = 5), cecal material (n = 5), five swabs each from hides of animals after bleeding (HAB), and carcasses after scalding (CAS), before evisceration (CBE), after evisceration (CAE), before LA spray (BLA), after LA spray (ALA), 1h after LA spray (ALA1), 2h after LA spray (ALA2), and after chilling (ACH). All samples were enumerated for total plate count (TPC), Enterobacteriaceae, and E. coli using specific media for each. In addition, an aliquot of each sample was enriched and tested for the presence of the O-antigen gene (rfbE) for E. coli O157 and Shiga toxin-producing gene (stx1/stx2) using real-time PCR. Cultures positive for both rfbE and stx were further plated for the isolation of E. coli O157:H7. Of the 683 enrichment cultures, 12 were positive for both marker genes, from cecal material (n = 2), dirt (n = 4) and HAB (n = 6). However, none of these samples yielded STEC O157 isolates. Of these enrichment cultures, 69, 45 and 32 were positive for stx1, stx2, and both stx genes, respectively. Positive samples were mostly associated with HAB, cecal material and dirt. HAB was most and least contaminated in August/June and December, differing by 1 log unit for TPC (P < 0.05). Enterobacteriaceae and E. coli on HAB were also affected by month of sampling (P < 0.05), but this temporal trend differed from TPC (Table). The numbers for TPC, Enterobacteriaceae, and E. coli all decreased (P < 0.05) as the stage of carcass processing progressed. The overall reduction of TPC and E. coli was 7 and 5 log units, respectively. Scalding, LA spray and air chilling all reduced (P < 0.05) the numbers of indicator bacteria on carcasses. Of the 55 samples each collected from BLA, ALA, ALA1, ALA2, and ACH, 36, 13, 2, 1 and 0 were positive for E. coli, respectively. In conclusion, pork processing environments can be contaminated with STEC from hides, feces and holding pen, but levels of STEC O157 appear to be low. Scalding, LA spray and air chilling can be effective measures to reduce the risk of bacterial contamination of pork.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.246
Teacher spread0.240 · 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 designObservational
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

Citations0
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Animal ScienceSame topicMicrobial Metabolism and ApplicationsFrench-language works237,207