Programmable aerosol chemistry coupled to chemical imaging establishes a new arena for automated chemical synthesis and discovery

Abstract

Aerosols have emerged as a massively parallel reaction medium promising accelerated reactivity and unanticipated reactivity outcomes, yet exploration of these properties has so far only been confined to specific reactions. Wider deployment in chemical synthesis and discovery is impeded by the lack of a general-purpose formalism for conceiving multi-step chemical transformations in the aerosol medium and standardised building blocks to enable adaptation of existing synthesis procedures to execution in the inherently stochastic and inhomogeneous aerosol phase. Here we propose a framework based on programmable timed release of reagents as atomised solutions that provides the minimum necessary building blocks for synthesis in an automated aerosol reactor. This framework both connects synthesis in traditional bulk media with aerosols and lays the foundation for massively parallel discovery in airborne microdroplets. To validate our proposed formalism with a concrete methodology, we demonstrate a prototype open hardware platform and three examples of automated procedures. Further, we propose chemical imaging as a category of analytical methodology tailored to interrogation of aerosols. As a proof-of-principle demonstration, we use optical microscopy to detect reactivity in the resulting microdroplets and study the spatial distribution of their compositions in response to changes in the synthesis program.

Supplementary files

Transparent peer review

To support increased transparency, we offer authors the option to publish the peer review history alongside their article.

View this article’s peer review history

Article information

Article type
Paper
Submitted
10 Mar 2025
Accepted
08 Jul 2025
First published
18 Jul 2025
This article is Open Access
Creative Commons BY license

Digital Discovery, 2025, Accepted Manuscript

Programmable aerosol chemistry coupled to chemical imaging establishes a new arena for automated chemical synthesis and discovery

J. D. Wosik, C. Zhu, Z. Li and S. H. M. Mehr, Digital Discovery, 2025, Accepted Manuscript , DOI: 10.1039/D5DD00100E

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements