Analytical Technologies and Intelligent Applications in Future Food

Dear Colleagues,

The intersection of advanced analytical technologies and artificial intelligence (AI) is revolutionizing modern food chemistry. As food matrices become increasingly complex and consumer demands for nutrition, safety, traceability, and sensory quality soar, the need for analytical solutions that are precise, sensitive, rapid, intelligent, and adaptable has never been greater.

This Special Issue delves into cutting-edge analytical methodologies—including chromatography, spectroscopy, mass spectrometry, and sensor technologies—augmented by AI, machine learning, and chemometric modeling. These intelligent approaches are fundamentally transforming food analysis and data interpretation, enabling unprecedented accuracy in detecting nutrients, bioactive compounds, contaminants, flavor volatiles, and processing indicators across diverse food systems. We seek original research and review articles that showcase the development of innovative applications of intelligent analytical strategies within various food categories, such as meat, dairy, grains, plant-based alternatives, fermented products, and functional beverages.

Key topics of interest include, but are not limited to, the following: AI-driven flavoromics and sensory profiling, predictive modeling for shelf-life estimation, sophisticated algorithms for food fraud detection and authenticity verification, and the development of real-time monitoring platforms for ensuring food quality and safety. By forging stronger links between food chemistry and intelligent technologies, this Special Issue aims to catalyze data-driven innovations, empower smart food processing, and provide novel insights into the future of precision food science.

Dr. Changwei Hsieh
Dr. Chunhuan Liu
Guest Editors

Dr. Shipeng Yin
Dr. Xiuhang Chai
Guest Editors Assistants

Manuscript Submission Information

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