Visible and Hyperspectral Imaging for Quality Assessment of Milk: Property Characterisation and Identification

Researchers have developed a new method using visible and hyperspectral imaging technology to rapidly assess milk quality without destructive testing, as detailed in a study published on arXiv in February 2026. The scientific team analyzed 52 cow milk samples to determine their biochemical composition including polyphenols and antioxidant capacity, seeking alternatives to conventional chemical analyses that are often time-consuming and expensive. This innovative imaging approach offers the dairy industry a cost-effective solution for ensuring both nutritional value and food safety in milk products. The study represents a significant advancement in food quality assessment technologies, addressing the growing demand for faster testing methods in the dairy industry. Traditional chemical analysis methods, while accurate, often require extensive sample preparation and laboratory processing, leading to delays in quality control. The visible and hyperspectral imaging techniques used in this research allow for immediate assessment of milk properties without altering the sample, providing real-time data that could be integrated into production lines for continuous monitoring.