Chen Haotian, Li Yingze, Li Zhenguang, Sun Yuantai, Gu Weicheng, Chen Chang, Cheng Yu
Frontiers Science Center for Intelligent Autonomous Systems, Tongji University, Shanghai, China.
Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Clinical Research Center for Anesthesiology and Perioperative Medicine, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Wiley Interdiscip Rev Nanomed Nanobiotechnol. 2025 Mar-Apr;17(2):e70011. doi: 10.1002/wnan.70011.
Micro/nanorobots are being increasingly utilized as new diagnostic and therapeutic platforms in the biomedical field, enabling remote navigation to hard-to-reach tissues and the execution of various medical procedures. Although significant progress has been made in the development of biomedical micro/nanorobots, how to achieve closed-loop control of them from sensing, memory, and precise trajectory planning to feedback to carry out biomedical tasks remains a challenge. Bacteria with self-propulsion and autonomous intelligence properties are well suited to be engineered as microrobots to achieve closed-loop control for biomedical applications. By virtue of synthetic biology, bacterial microrobots possess an expanded genetic toolbox, allowing them to load input sensors to respond or remember external signals. To achieve accurate control in the complex physiological environment, the development of bacterial microrobots should be matched with the corresponding control system design. In this review, a detailed summary of the sensing and control mechanisms of bacterial microrobots is presented. The engineering and applications of bacterial microrobots in the biomedical field are highlighted. Their future directions of bacterial autonomous intelligent microrobots for precision medicine are forecasted.
微型/纳米机器人正越来越多地被用作生物医学领域的新型诊断和治疗平台,能够远程导航至难以触及的组织并执行各种医疗程序。尽管生物医学微型/纳米机器人的开发已取得重大进展,但如何实现对它们从传感、记忆、精确轨迹规划到反馈以执行生物医学任务的闭环控制仍然是一项挑战。具有自我推进和自主智能特性的细菌非常适合被设计成微型机器人,以实现生物医学应用的闭环控制。借助合成生物学,细菌微型机器人拥有一个扩展的基因工具箱,使它们能够加载输入传感器来响应或记忆外部信号。为了在复杂的生理环境中实现精确控制,细菌微型机器人的开发应与相应的控制系统设计相匹配。在这篇综述中,对细菌微型机器人的传感和控制机制进行了详细总结。重点介绍了细菌微型机器人在生物医学领域的工程应用。预测了用于精准医学的细菌自主智能微型机器人的未来发展方向。