Author

Khan Bahadar Khan

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Open access Sep 2026

Hyperspectral Imaging-Based Adulteration Detection of Edible Oil using Optimized Machine Learning Models

Oil adulteration poses a significant risk to public health and compromises food quality and authenticity, necessitating reliable and rapid detection methods. This study proposes a non-destructive method for detecting edible oil adulteration using hyperspectral imaging integrated with spectral feature optimization and m...

Muhammad Aqeel, Muhammad Iqbal, Areesha Gull et al. · Food Analytical Methods · 0 citations

Open access Sep 2026

Optimized Stacking Ensemble Machine Learning for Nondestructive Toxicological Risk Assessment of Fish Meat Using Hyperspectral Imaging

The increasing occurrence of chemical contaminants and preservative misuse in fish products poses significant challenges to food safety and public health. Conventional analytical techniques, including gas chromatography–mass spectrometry (GC–MS) and distillation‐based chromatography, provide reliable contaminant dete...

Muhammad Aqeel, Muhammad Iqbal, Hassan Majeed et al. · Journal of food safety · 0 citations

Sep 2026

Non-destructive detection of mercury and salicylic acid in beauty cream using hyperspectral imaging and chemometrics for toxicological risk assessment

Adulteration of cosmetic products with toxicants remains a public-health concern, especially in markets where surveillance is uneven. We developed a non-destructive screening method for mercury and salicylic acid using hyperspectral imaging (400–1000 nm, Specim FX10 camera) coupled with machine-learning (ML) chemometri...

Muhammad Aqeel, Khan Bahadar Khan, Huda Sultan et al. · Journal of Near Infrared Spe... · 0 citations