Detection of Extended Spectrum Beta-Lactamase Escherichia coli and Histamine Contents in Raw Mackerel (Scomber japonicus) Sold in Open Markets in Sagamu, Nigeria
Bibliographic record
Abstract
Background: A food borne sickness called histamine fish poisoning is frequently brought on by eating some fish species that have high levels of histamine and other biogenic amines in their tissues. When fish is improperly stored and preserved, its natural makeup makes it polluted. Objectives: This study was carried out to examine the histamine contents, determine the extended-spectrum beta-lactamase producing isolates of Escherichia coli from the gut of raw mackerel fish obtained in Sagamu markets and relate the plasmid isolated, if present, with Extended Spectrum Beta Lactamase (ESBL). Materials and Methods: Fifty (50) mackerel fish were dissected and their guts were removed for the isolation of E. coli on eosin methylene blue agar medium. The isolates obtained were Gram stained, biochemically characterized, and thereafter plated on Mueller Hinton agar impregnated with ESBL discs by double disc synergy methods. Ten gram (10 g) of each part of fish weighing 100 g was blended for histamine determination by spectrophotometry and plasmid analysis of some selected ESBL resistance amongst the isolates were determined. Results: Escherichia coli were found in all fifty mackerel fish and 31 (62%) of those were ESBL producers. All of these were plasmid-free. In 14 (28%) of the 50 fish analysed, histamine concentrations of more than 100 mg/100 g exceeded the tolerance threshold of 10 mg/100 g, Conclusion: The results from the study showed that some of the fish sold in the markets of Sagamu contain ESBL producing Escherichia coli which may be considered as reservoirs for resistant bacteria. Significant level of histamine recorded surpassed histamine tolerance level in fish for human consumption. There is a need to provide storage facilities and raise hygiene awareness in markets where fish is sold.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".