<![CDATA[Food contamination caused by biological and chemical threats remains a challenge in food security today and requires effective detection and prevention strategies. Biosensor technology and early warning systems are emerging as promising approaches to improve monitoring capabilities and support food protection. However, studies that integrate biosensors and early detection systems as part of early warning systems from a food defense perspective are still fragmented and there is no comprehensive bibliometric assessment in analyzing this research domain. Therefore, this study aims to analyze global research trends, intellectual structures, collaboration patterns, and emerging themes related to biosensor-based early warning systems for strengthening food security. This study uses a bibliometric approach using indexed publications in the Scopus database. A total of 158 data were analyzed using VOSviewer in the form of co-occurrence of keywords and analysis of country collaboration. The results of the study show four dominant research themes: (1) electrochemical biosensors and environmental monitoring, (2) advanced biosensing technology, (3) artificial intelligence-based intelligent monitoring systems, and (4) early diagnosis and warning systems. The keyword network suggests that biosensors are a central research topic that connects with artificial intelligence and early warning applications. China, the United States and the United Kingdom were identified as major contributors to international research collaboration. In addition, there has been an evolution from conventional biosensors to monitoring systems integrated with artificial intelligence. This study highlights the gap and integration of the concept of food defense with biosensor technology, when biosensor-based early warning systems have great potential to strengthen food security systems through improved detection, prevention, and response capabilities to biological and chemical threats in the food supply chain.]]>
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