The TiO₂ antimicrobial roadmap: advancing synthesis paradigms, machine learning integration, and next-generation disinfection

As global antibiotic resistance reaches a critical juncture, titanium dioxide (TiO₂) nanoparticles have emerged as a cornerstone of next-generation antimicrobial strategies. This review provides a high-level synthesis of the structural and physicochemical determinants that drive TiO₂ efficacy, with a particular focus on the synergistic interplay between anatase and rutile phases in generating potent reactive oxygen species (ROS). Beyond conventional mechanisms—such as membrane penetration and oxidative damage to proteins and nucleic acids—we critically evaluate the transition from UV-dependent activation to visible-light responsiveness through cutting-edge modification strategies. However, translating these systems into standardized applications remains hindered by a lack of clarity on structure-activity relationships across different synthesis routes and distinct crystalline phases. Addressing this research gap, this work is a comprehensive analysis of modern synthesis paradigms, including the reproducibility of green synthesis and the integration of Artificial Intelligence (AI) and Machine Learning (ML) to optimize nanoparticle performance. Furthermore, we address the often-overlooked challenge of emerging bacterial resistance to nanomaterials and the role of interdisciplinary collaboration in overcoming translational barriers. By bridging the gap between fundamental materials science and complex biological interactions, this review offers a strategic roadmap for the development of TiO₂-based systems in clinical and environmental disinfection.