High Throughput Determination of Inorganic Arsenic in Rice Using Hydride Generation-ICP-MS

At 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.

Near-infrared spectroscopy was recently used to estimate sweetness and total soluble solids content in cherry tomatoes.

Hyperspectral imaging was recently used to characterize chicken breast affected by myopathies, which can affect their texture and quality.

Researchers 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.

A 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.

Researchers 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.