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.
New Study Shows FT-MIR Spectroscopy Can Authenticate Parmigiano Reggiano Farming Practices
March 11th 2025A new study published in the Journal of Dairy Science demonstrates that FT-MIR spectroscopy can effectively authenticate farming practices and dairy systems in Parmigiano Reggiano production but has limited ability to verify animal welfare parameters.
Advancing NIR and Imaging Spectroscopy in Food and Bioanalysis
March 11th 2025Our full-length interview with Huck covers more than just NIR spectroscopy in food and bio analysis. Spectroscopy sat down with Huck to also discuss current trends going on in spectroscopy, delving into what challenges spectroscopists face today and how they can solve these concerns.
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.