Artificial micro-/nano-motors are tiny machines as newly emerging tools capable of achieving numerous tasks. In principle, the self-phoretic motions require asymmetric structures in geometry and chemistry. However, conventional production techniques suffered from complex and time consuming multi-step process in low uniformity, and difficult to endow multi-functions into motors. This work disclosed a continuous-flow synthesis of triple-responsive (thermophoretic, chemical and magnetic movement) nano-motors (m-SiO₂/Fe₃O₄-Pdop/Pt) via microfluidic Pickering emulsification in a process of integrated and scalable manner. The droplet microfluidic process allows efficient self-assembly of the silica nanoparticles surrounding the spherical interface of resin droplet, rendering excellent Pickering efficiency and reproducibility, and followed by anisotropic decoration of polydopamine (Pdop) and Pt catalyst in a serial flow process. The obtained Janus nanoparticles reveal double- or triple-responsive self-propulsions with synergic mobility by combining thermophoresis powered by light, catalytic driven motion in H₂O₂ or magnetic movement by magnet. Further, a non-metallic polydopamine based thermophoretic motion as well as an automated nano-cleaner for rapid water purification by dye removal are convincingly functioned. Finally, this novel integrated flow strategy proves a scalable manufacturing production (> 0.7 g hr⁻¹) of the nano-motors using inexpensive single microreactor, fulfilling quantitative and qualitative needs for versatile applications.

人工微型/纳米电机是微型机器，是可以完成许多任务的新兴工具。原则上，自隐喻运动需要几何和化学上的不对称结构。但是，传统的生产技术具有复杂性低，耗时的均匀性低的多步骤工艺，并且难以将多功能产品赋予电动机。这项工作公开了三响应（热运动，化学和磁运动）纳米电机（m-SiO ₂ / Fe ₃ O ₄）的连续流合成-Pdop / Pt）通过微流体Pickering乳化以集成和可扩展的方式进行。液滴微流工艺可实现围绕树脂液滴球形界面的二氧化硅纳米粒子的高效自组装，从而具有出色的Pickering效率和可重复性，然后在连续流工艺中对聚多巴胺（Pdop）和Pt催化剂进行各向异性装饰。通过结合由光驱动的热泳，H ₂ O _2中的催化驱动运动，所获得的Janus纳米颗粒显示出具有协同移动性的双响应或三响应自推进。或磁铁的磁力运动。此外，令人信服的是，基于非金属聚多巴胺的热泳运动以及用于通过去除染料快速提纯水的自动化纳米清洁器也具有功能。最终，这种新颖的集成流策略证明了使用便宜的单个微反应器可实现可扩展的生产制造方式（> 0.7 g hr ^-1）的纳米马达，满足了多种应用的定量和定性需求。