From lab to market: Real-time food safety monitoring via spectroscopy, blockchain and artificial intelligence

作者：Nikos Chorianopoulos, Anastasia Lytou, Lemonia-Christina Fengou, Shintaro Kinoshita, Pengcheng Dong, Yimin Zhang, Chrysoula C. Tassou, Fady Mohareb, George‐John E. Nychas · 发表于：Trends in Food Science & Technology · 年份：2025 · DOI：10.1016/j.tifs.2025.105386 · 被引用次数：11 · 研究领域：Food Supply Chain Traceability、Identification and Quantification in Food、Spectroscopy and Chemometric Analyses

Background The food system is a complex concept that involves various stages and processes from farm-to-fork, where the assessment of quality and safety at every stage is of great importance. The current safety and quality controls rely on microbiological and chemical analyses, which are time-consuming, laborious and provide retrospective results. Scope and approach This review critically examines the current developments and practical applications of spectroscopy-based sensors integrated with Artificial Intelligence (AI) and Information Technologies (IT), emphasising their role in ensuring food integrity throughout the entire supply chain, from production to consumption. It provides a comprehensive analysis of the state-of-the-art in non-destructive spectroscopic instrumentation, AI-driven analytical tools, Blockchain technology, and other emerging digital innovations aimed at enhancing real-time food safety and quality monitoring. Particular attention is given to the progression from laboratory-scale experiments to commercially viable solutions, highlighting the technological advancements achieved, as well as the logistical, economic, and infrastructural challenges impeding their large-scale deployment. This review underscores the transformative potential of these integrated technologies in establishing transparent, traceable, and resilient food systems on a global scale. Key findings and conclusions In this context, spectroscopy-based sensors in tandem with AI tools and In...