A validated ICP-MS method for the determination of Cr, Se, and Mo in infant formula and adult nutritional products was transferred to a next-generation system. This methodology is potentially suitable as a global reference method for the application, as all samples can be analyzed using a single-cell gas mode (helium mode) that provides effective removal of polyatomic interferences - significantly improving productivity.
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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.
Combining AI and NIR Spectroscopy to Predict Resistant Starch (RS) Content in Rice
June 24th 2025A new study published in the journal Food Chemistry by lead authors Qian Zhao and Jun Huang from Zhejiang University of Science and Technology unveil a new data-driven framework for predicting resistant starch content in rice