Food Science Advances: Quality, Safety, and Authenticity
Received Date: Sep 01, 2025 / Published Date: Sep 29, 2025
Abstract
This overview synthesizes recent advancements in food quality and safety assessment. It highlights non-destructive techniques like NIRS, the transformative role of AI/ML in analysis and optimization, and advanced analytical methods for authenticity and fraud detection, including mass spectrometry. Emerging sensor technologies for spoilage detection, molecular methods for microbial safety, and chromatographic techniques for hazardous substances are also discussed. Additionally, it covers ’omics’ technologies for comprehensive insights and hyperspectral imaging for rapid quality control. These innovations collectively enhance food security, transparency, and consumer protection across the global supply chain.
Keywords: Near-Infrared Spectroscopy; Artificial Intelligence; Food Authenticity; Mass Spectrometry; Sensor Technologies; Molecular Methods; Food Safety; Hyperspectral Imaging
Citation: Woo SM (2025) Food Science Advances: Quality, Safety, and Authenticity. jabt 16: 801.
Copyright: © 2025 Sun Min Woo This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
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