Prevalence and concentration of aflatoxin M1 in milk and dairy products: an umbrella review of meta-analyses
Bibliographic record
Abstract
BACKGROUND: Aflatoxin M1 (AFM1) is a derivative of aflatoxin B1 and a significant contaminant of milk and dairy products. In this study, we implemented an umbrella review of all existing systematic reviews and meta-analyzing studies to apprise and summarize the worldwide prevalence and level of AFM1 in milk and dairy products. METHODS: We conducted a systematic review of structured review and meta-analysis articles published in English until January 2024, with no time limit. Articles were sourced from reputable databases, including PubMed/MEDLINE, EMBASE, Scopus, Web of Science, CINAHL and the Cochrane Database of Systematic Reviews. Relevant studies from Google Scholar were also included. RESULTS: The overall prevalence of AFM1 in all dairy products was 66.2% (95% CI 60.6 to 71.9%), with high heterogeneity (I²=99.7%, Q statistic=2221.03, p<0.0001). The prevalence for specific dairy products was as follows: raw milk, 64.8% (95% CI 60.9 to 68.7%); pasteurized milk, 88.7% (95% CI 81.6 to 95.7%); sterilized milk, 71.0% (95% CI 67.2 to 74.8%); ultra-high temperature processing (UHT) milk, 67.9% (95% CI 64.9 to 70.9%); yogurt, 58.8% (95% CI 42.5 to 75.1%); doogh, 17.2% (95% CI 13.9 to 20.5%); and cheese 49.8% (95% CI 47.8 to 51.9%). The overall mean concentration of AFM1 across all dairy products was 57.22 ng/kg (95% CI 46.95 to 67.49), with significant heterogeneity (I²=99.7%, Q statistic=2221.03, p<0.0001). Mean AFM1 levels (ng/kg) for each dairy product were as follows: raw milk, 52.51 (95% CI 40.96 to 64.05); pasteurized milk, 71.14 (95% CI 48.81 to 93.47); sterilized milk, 60.10 (95% CI 30.90 to 89.30); UHT milk, 82.57 (95% CI 35.30 to 129.85); yogurt, 46.74 (95% CI 24.27 to 69.21); and doogh, 41.60 (95% CI 32.60 to 50.60). CONCLUSIONS: In total, these results highlight the importance of increasing the regulation of animal feed, reducing aflatoxin B1 (AFB1) in animal feed, and monitoring AFM1 in dairy products, particularly raw and heated milk.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".