Bacterial Load and Antimicrobial Profile of Escherichia coli and Listeria spp. Isolates from Muscle Tissues of Slaughtered Cattle at a Major Abattoir in Ibadan, South-Western Nigeria
Bibliographic record
Abstract
Meat is prone to contamination by pathogenic organisms during slaughter and processing due to unhygienic practices in Nigeria. In recent times, there has been an increase in the prevalence of antibiotic resistant foodborne pathogens due to increased drug misuse in livestock industry. We assessed the level of microbial contamination of fresh muscle tissues from cattle slaughtered in a major abattoir in Ibadan immediately after slaughter and also determined the antibiogram of Escherichia coli and Listeria spp isolates from the muscle tissues. These were done using standard plate and Bauer-Kirby disc diffusion techniques for bacteriological assay and antibiotic sensitivity testing, respectively. We found that the muscle tissues from the slaughtered cattle were highly contaminated, with the Total Aerobic (6.59±0.94 log cfu/g), coliform (6.43±0.67 log cfu/g) and Listeria (6.96±0.32 log cfu/g) counts being higher than the acceptable international standards. Isolated E. coli and Listeria spp demonstrated 100% resistance to all tested antibiotics. We thus recommend further studies to be carried out on the molecular characteristics of antibiotic resistant genes responsible for transferability of bacterial resistance among foodborne pathogens in Nigeria.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".