Toxicological evaluation of mycotoxins in tetra-pack milk samples using advanced analytical techniques

Milk serves as a vital nutritional source globally, yet remains vulnerable to contamination by hazardous mycotoxins—particularly heat-stable aflatoxin M1 (AFM1), ochratoxin A (OTA), and emerging penicillic acid (PA). This risk is exacerbated in developing nations like Pakistan where climate-sensitive dairy supply chains face increasing contamination pressures from rising temperatures and humidity. This study investigates mycotoxin prevalence in Pakistani tetra-pack milk through integrated analytical and digital approaches, aiming to: (1) quantify contamination levels using advanced chromatography, (2) develop climate-sensitive predictive models, and (3) prototype an IoT–blockchain traceability system for real-time risk monitoring. We employed LC–MS/MS (LOD: 0.05 μ g/L) with confirmatory TLC analysis on 126 milk samples, coupled with IoT sensors tracking temperature ( ± 0.5 °C), relative humidity ( ± 3%), and pH ( ± 0.2) at critical control points. A machine learning model incorporating Arrhenius kinetics was developed to predict contamination patterns. Results revealed 57.1% co-occurrence of AFM1 (0.115 ± 0.026 μ g/L) and OTA (7.327 ± 0.351 μ g/L; 144% above EU limits), with PA in 14.3% of samples. Our predictive model achieved R 2 = 0 . 94 accuracy, demonstrating temperature-dependent accumulation ( E a = 45 . 2 kJ/mol for AFM1) and projecting 31% increased contamination under RCP8.5 scenarios. Alarmingly, children’s exposure reached 1736% above safety thresholds (91.8 ng/kg/day). These findings challenge assumptions about pasteurization efficacy and necessitate: (1) ≥ 2% nanoencapsulated antimicrobials in packaging, (2) IoT-enabled cold chain monitoring, and (3) blockchain-based traceability. The study provides both a methodological framework for tropical dairy systems and quantifiable evidence for digital transformation in food safety governance, particularly for climate-vulnerable regions balancing food security and safety imperatives.

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Publication Details

Journal
Applied Food Research
Published
2025-08-08
DOI
https://doi.org/10.1016/j.afres.2025.101176
Primary Topic
Mycotoxins in Agriculture and Food
Type
article
Field-Weighted Citation Impact
0.00

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article

Toxicological evaluation of mycotoxins in tetra-pack milk samples using advanced analytical techniques

Ruby Khan, Hailah M. Almohaimeed, BAKHT PARI, Shakeb Khan
Applied Food Research
Mycotoxins in Agriculture and Food
article

Toxicological evaluation of mycotoxins in tetra-pack milk samples using advanced analytical techniques

Ruby Khan, Hailah M. Almohaimeed, BAKHT PARI, Shakeb Khan
article en

Abstract

Milk serves as a vital nutritional source globally, yet remains vulnerable to contamination by hazardous mycotoxins—particularly heat-stable aflatoxin M1 (AFM1), ochratoxin A (OTA), and emerging penicillic acid (PA). This risk is exacerbated in developing nations like Pakistan where climate-sensitive dairy supply chains face increasing contamination pressures from rising temperatures and humidity. This study investigates mycotoxin prevalence in Pakistani tetra-pack milk through integrated analytical and digital approaches, aiming to: (1) quantify contamination levels using advanced chromatography, (2) develop climate-sensitive predictive models, and (3) prototype an IoT–blockchain traceability system for real-time risk monitoring. We employed LC–MS/MS (LOD: 0.05 μ g/L) with confirmatory TLC analysis on 126 milk samples, coupled with IoT sensors tracking temperature ( ± 0.5 °C), relative humidity ( ± 3%), and pH ( ± 0.2) at critical control points. A machine learning model incorporating Arrhenius kinetics was developed to predict contamination patterns. Results revealed 57.1% co-occurrence of AFM1 (0.115 ± 0.026 μ g/L) and OTA (7.327 ± 0.351 μ g/L; 144% above EU limits), with PA in 14.3% of samples. Our predictive model achieved R 2 = 0 . 94 accuracy, demonstrating temperature-dependent accumulation ( E a = 45 . 2 kJ/mol for AFM1) and projecting 31% increased contamination under RCP8.5 scenarios. Alarmingly, children’s exposure reached 1736% above safety thresholds (91.8 ng/kg/day). These findings challenge assumptions about pasteurization efficacy and necessitate: (1) ≥ 2% nanoencapsulated antimicrobials in packaging, (2) IoT-enabled cold chain monitoring, and (3) blockchain-based traceability. The study provides both a methodological framework for tropical dairy systems and quantifiable evidence for digital transformation in food safety governance, particularly for climate-vulnerable regions balancing food security and safety imperatives.

Applied Food ResearchVol. 5(2)
Princess Nourah bint Abdulrahman University (SA), Silesian University of Technology (PL), Khyber Medical College (PK), Sarhad University of Science and Information Technology (PK), Khyber Girls Medical College
Princess Nourah Bint Abdulrahman University
Zero hunger
Openalex Percentile: Top 85%
Mycotoxins in Agriculture and Food
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