Analysis of Milk Powders Based on Chinese Standard Method Using the Agilent 5100 SVDV ICP-OES
Trace toxic and major nutrient elements were measured in a single measurement in a milk powder SRM, with no ionization buffers, using a synchronous dual view ICP-OES. The methodology was in accordance with Chinese method GB 5413.21 for raw milk and dairy products. Excellent recoveries were achieved for all elements determined in the SRM, demonstrating the accuracy of the method over a large dynamic range.
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Integrating Spectroscopy with Machine Learning to Differentiate Seed Varieties
July 15th 2025Researchers at the University of Belgrade have demonstrated that combining Raman and FT-IR spectroscopy with machine learning algorithms offers a highly accurate, non-destructive method for identifying seed varieties in lettuce, paprika, and tomato.
Rapid Sweetener Detection Achieved Through Raman Spectroscopy and Machine Learning
July 10th 2025Researchers at Heilongjiang University have developed a rapid and accurate method for detecting sweeteners in food using Raman spectroscopy combined with a Random Forest machine learning algorithm, offering a powerful tool for improving food safety.
