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Democratizing Microreactor Technology for Accelerated Discoveries in Chemistry and Materials Research

  • Tomomi Sato
  • , Koji Masuda
  • , Chikako Sano
  • , Keiji Matsumoto
  • , Hidetoshi Numata
  • , Seiji Munetoh
  • , Toshihiro Kasama
  • , Ryo Miyake

Research output: Contribution to journal › Review article › peer-review

Abstract

Microreactor technologies have emerged as versatile platforms with the potential to revolutionize chemistry and materials research, offering sustainable solutions to global challenges in environmental and health domains. This survey paper provides an in-depth review of recent advancements in microreactor technologies, focusing on their role in facilitating accelerated discoveries in chemistry and materials. Specifically, we examine the convergence of microfluidics with machine intelligence and automation, enabling the exploitation of the cyber-physical environment as a highly integrated experimentation platform for rapid scientific discovery and process development. We investigate the applicability and limitations of microreactor-enabled discovery accelerators in various chemistry and materials contexts. Despite their tremendous potential, the integration of machine intelligence and automation into microreactor-based experiments presents challenges in establishing fully integrated, automated, and intelligent systems. These challenges can hinder the broader adoption of microreactor technologies within the research community. To address this, we review emerging technologies that can help lower barriers and facilitate the implementation of microreactor-enabled discovery accelerators. Lastly, we provide our perspective on future research directions for democratizing microreactor technologies, with the aim of accelerating scientific discoveries and promoting widespread adoption of these transformative platforms.

Original languageEnglish
Article number1064
JournalMicromachines
Volume15
Issue number9
DOIs
Publication statusPublished - 09-2024
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Mechanical Engineering
  • Electrical and Electronic Engineering

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