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印刷聚合物平台助力堆叠液滴中的机器辅助化学合成。

Printed polymer platform empowering machine-assisted chemical synthesis in stacked droplets.

作者信息

Sun Yingxue, Zhao Yuanyi, Xie Xinjian, Li Hongjiao, Feng Wenqian

机构信息

College of Polymer Science and Engineering, Sichuan University, Chengdu, China.

College of Chemical Engineering, Sichuan University, Chengdu, China.

出版信息

Nat Commun. 2024 Aug 8;15(1):6759. doi: 10.1038/s41467-024-50768-1.

Abstract

Efficiently exploring organic molecules through multi-step processes demands a transition from conventional laboratory synthesis to automated systems. Existing platforms for machine-assistant synthetic workflows compatible with multiple liquid-phases require substantial engineering investments for setup, thereby hindering quick customization and throughput increasement. Here we present a droplet-based chip that facilitates the self-organization of various liquid phases into stacked layers for conducting chemical transformations. The chip's precision polymer printing capability, enabled by digital micromirror device (DMD)-maskless photolithography and dual post-chemical modifications, allows it to create customized, sub-10 µm featured patterns to confine diverse liquids, regardless of density, within each droplet. The robustness and open design of surface-templated liquid layers actualize machine-assistant droplet manipulation, synchronous reaction triggering, local oscillation, and real-time monitoring of individual layers into a reality. We propose that, with further integration of machine operation line and self-learning, this droplet-based platform holds the potential to become a valuable addition to the toolkit of chemistry process, operating autonomously and with high-throughput.

摘要

通过多步过程高效探索有机分子需要从传统的实验室合成过渡到自动化系统。现有的与多种液相兼容的机器辅助合成工作流程平台需要大量的工程投资来进行设置,从而阻碍了快速定制和通量增加。在这里,我们展示了一种基于液滴的芯片,它有助于将各种液相自组织成堆叠层以进行化学转化。该芯片的精密聚合物打印能力由数字微镜器件(DMD)无掩膜光刻和双重后化学修饰实现,使其能够创建定制的、小于10 µm的特征图案,以在每个液滴内限制各种液体,而不论其密度如何。表面模板化液层的稳健性和开放式设计实现了机器辅助液滴操纵、同步反应触发、局部振荡以及对各个层的实时监测。我们提出,随着机器操作线和自学习的进一步整合,这个基于液滴的平台有潜力成为化学过程工具包中的一个有价值的补充,能够自主且高通量地运行。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df98/11310347/0815499892b0/41467_2024_50768_Fig1_HTML.jpg

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