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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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