A fast and sensitive method using hydride generation (HG) with ICP-MS has been developed for the separation and detection of toxic inorganic arsenic (iAs) in foodstuffs. The iAs measured values in 31 commercial rice products all fell below the current legislative maximum level of 150 µg/kg set by China. Comparing the results obtained by HG-ICP-MS and HPLC-ICP-MS showed comparable limits of detection were achieved.
Pittcon 2025: Christian Huck Discusses Near-Infrared Spectroscopy in Food Analysis
March 6th 2025At Pittcon, Spectroscopy sat down with Christian Huck of the University of Innsbruck to talk about how NIR and imaging spectroscopy are being used in food and bioanalysis, and where this industry is heading in the future.
AI-Powered Detection System Identifies Petroleum Contamination in Edible Oils
March 3rd 2025Researchers from Jiangsu University and Jimei University have developed an AI-powered detection system using near-infrared spectroscopy and a convolutional neural network long short-term memory (CNN-LSTM) model to accurately identify petroleum contamination in edible oils for improving food safety and quality control.
Fluorescence Anisotropy Offers New Insights into Food Texture and Structure
February 21st 2025A recent study published in the Journal of Food Composition and Analysis explores the potential of fluorescence anisotropy as a tool for quantifying structural anisotropy in food, offering new insights for improving plant-based alternatives and dairy product textures.
Improving Citrus Quality Assessment with AI and Spectroscopy
February 13th 2025Researchers from Jiangsu University review advancements in computer vision and spectroscopy for non-destructive citrus quality assessment, highlighting the role of AI, automation, and portable spectrometers in improving efficiency, accuracy, and accessibility in the citrus industry.