Five arsenic species, including the toxicologically relevant inorganic forms As(III) and As(V), were determined in 4 minutes, with excellent sensitivity, accuracy and precision using an Agilent LC fitted with a reversed phase column coupled to an ICP-MS. Any potential interferences on As such as ArCl+ were removed using a single-cell gas mode (helium mode), speeding up the analysis.
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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.