Rauschen Robert, Ayme Jean-François, Matysiak Bartosz M, Thomas Dean, Cronin Leroy
Advanced Research Centre, University of Glasgow, 11 Chapel Lane, Glasgow G11 6EW, UK.
Lead contact.
Chem. 2025 Aug 14;11(8). doi: 10.1016/j.chempr.2025.102504. Epub 2025 Mar 31.
The assembly of molecular nanomachines using atomically precise manipulations promises to enable nanotechnology with unprecedented architectural features and exquisite functional properties. However, this future is critically limited by the ability to autonomously manufacture nanomachines, with current efforts being heavily labor intensive. A system is needed to program and assemble matter under digital control, unifying molecular nanotechnology and macroscale chemical processes. Herein, we present a universal chemical robotic synthesis platform (Chemputer) that produces functional molecular machines. By integrating autonomous feedback through on-line NMR and liquid chromatography, a divergent four-step synthesis and purification of molecular rotaxane architectures are achieved. The synthetic sequence averaged 800 base steps over 60 h, affording products on an analytical scale for feasibility studies. While standardizing rotaxane synthesis enhances reliability and reproducibility, our workflow addresses two bottlenecks in autonomous synthesis: yield determination (via on-line H NMR) and product purification via multiple column chromatography techniques (silica gel and size exclusion).
利用原子精确操纵来组装分子纳米机器有望实现具有前所未有的结构特征和精致功能特性的纳米技术。然而,这一未来受到自主制造纳米机器能力的严重限制,目前的努力劳动强度极大。需要一个系统来在数字控制下对物质进行编程和组装,将分子纳米技术与宏观化学过程统一起来。在此,我们展示了一个能生产功能性分子机器的通用化学机器人合成平台(化学计算机)。通过整合在线核磁共振和液相色谱的自主反馈,实现了分子轮烷结构的四步发散式合成与纯化。合成序列在60小时内平均有800个碱基步骤,可提供用于可行性研究的分析规模的产物。虽然标准化轮烷合成提高了可靠性和可重复性,但我们的工作流程解决了自主合成中的两个瓶颈:产率测定(通过在线氢核磁共振)和通过多种柱色谱技术(硅胶和尺寸排阻)进行产物纯化。