Background: Foodborne pathogenic bacteria pose a persistent threat to global public health, driving urgent demand for rapid, sensitive, and on-site detection technologies. Although conventional methods are widely employed, their practical application remains constrained by lengthy protocols, insufficient sensitivity, and poor matrix compatibility. Metal-organic frameworks (MOFs), with their tunable structures and versatile functionality, offer unique advantages to overcome these limitations, making them ideal scaffolds for biosensing. Scope and approach: This review systematically examines the rational design and application of biomoleculefunctionalized MOF composites for pathogen smart sensing. Design strategies, including surface adsorption, covalent interactions, pore encapsulation and biomimetic mineralization are discussed in terms of their impact on biorecognition efficiency and structural stability. This paper also analyzes signal conversion mechanisms ranging from colorimetric signal catalysis and fluorescence signal conversion to surface-enhanced Raman scattering, with a particular focus on how the biomolecule-MOF interface modulates sensing performance. Additionally, performance evaluations were conducted on representative applications in colorimetric, fluorescence, Raman, and multimodal smart sensing platforms. Key findings and conclusions: Recent studies have shown that combining biomolecular recognition, MOFs and multimodal smart sensing can significantly improve the sensitivity, specificity, reliability and practicality of detecting foodborne pathogens. This paper systematically analyzes the limitations of current research, including interfacial stability, matrix interference and reproducibility issues, and highlights the synergistic role of biomolecular recognition elements and MOFs in the development of smart sensing platforms. These findings provide a design-oriented framework for the translation of laboratory-scale MOF biosensors into practical, field deployable food safety monitoring systems.