Abstract
The complexity of global food supply chains and rising consumer demands related to food safety and quality have increased the need for advanced food safety and quality management systems. While traditional testing methods are not becoming obsolete, they are increasingly supported by predictive and digital technologies, which enable early risk detection and proactive control. This paper examines the development of food safety and quality management through emerging technologies and internationally recognized standards. The review was qualitative, synthesizing evidence from international scientific, regulatory, and industry case studies on smart food safety technologies and quality assurance frameworks. It focuses on digital, automated, and non-thermal technologies used in food processing and distribution systems. The main findings indicate that high-sensitivity metal detectors and dual-energy X-ray scanners improve the detection of physical contaminants, while automation and robotics reduce handling and cross-contamination risks. IoT-based real-time monitoring helps control key parameters, and AI analytics can predict spoilage and microbial growth risks. Blockchain technology enhances traceability, enabling faster and more accurate recalls. Additionally, non-thermal interventions such as cold plasma are effective at inactivating pathogens without compromising food quality. The paper concludes that integrating these technologies into established frameworks such as GAP, GMP, GHP, GDP, GLP, and HACCP is essential for creating robust, transparent, and high-quality food systems. These insights are valuable for industry practitioners, regulators, and policymakers.