Integrative computational modeling framework linking mycotoxin contamination, microbial hazards, and antimicrobial resistance risk in dairy systems

Combining chemical testing, gene screening, and environmental monitoring provides a practical way to detect and evaluate mycotoxin risk in milk. Farm milk showed higher contamination than household milk, emphasizing the need for targeted monitoring and preventive measures. Identifying environmental thresholds and risk factors can support early interventions to improve food safety and protect public health.

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Publication Details

Journal
BMC Microbiology
Published
2025-12-09
DOI
https://doi.org/10.1186/s12866-025-04570-8
Primary Topic
Mycotoxins in Agriculture and Food
Type
article
Field-Weighted Citation Impact
0.00
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article

Integrative computational modeling framework linking mycotoxin contamination, microbial hazards, and antimicrobial resistance risk in dairy systems

Ruby Khan, Bakht Pari, Sumbal Khan
BMC Microbiology
Mycotoxins in Agriculture and Food
article

Integrative computational modeling framework linking mycotoxin contamination, microbial hazards, and antimicrobial resistance risk in dairy systems

Ruby Khan, Bakht Pari, Sumbal Khan
article en

Abstract

Combining chemical testing, gene screening, and environmental monitoring provides a practical way to detect and evaluate mycotoxin risk in milk. Farm milk showed higher contamination than household milk, emphasizing the need for targeted monitoring and preventive measures. Identifying environmental thresholds and risk factors can support early interventions to improve food safety and protect public health.

BMC MicrobiologyVol. 26(1)
Silesian University of Technology (PL), Sarhad University of Science and Information Technology (PK), Lady Reading Hospital (PK)
Openalex Percentile: Top 71%
Mycotoxins in Agriculture and Food
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