Enhancing the Scalability of Crystallization-Driven Self-Assembly Using Flow Reactors

Abstract

Anisotropic materials have garnered significant attention due to their potential applications in cargo delivery, surface modification, and composite reinforcement. Crystallization-driven self-assembly (CDSA) is a practical way to access anisotropic structures, such as 2D platelets. Living CDSA, where platelets are formed by using seed particles, allows the platelet size to be well controlled. Nonetheless, the current method of platelet preparation is restricted to low concentrations and small scales, resulting in inefficient production, which hampers its potential for commercial applications. To address this limitation, continuous flow reactors were employed to improve the production efficiency. Flow platforms ensure consistent product quality by maintaining the same parameters throughout the process, circumventing batch-to-batch variations and discrepancies observed during scale-up. In this study, we present the first demonstration of living CDSA performed within flow reactors. A continuous flow system was established, and the epitaxial growth of platelets was initially conducted to study the influence of flow parameters such as temperature, residence time, and flow rate on the morphology of platelets. Comparison of different epitaxial growth manners of seeds and platelets was made when using seeds to perform living CDSA. Size-controllable platelets from seeds can be obtained from a series flow system by easily tuning flow rates. Additionally, uniform platelets were continuously collected, exhibiting improved size and dispersity compared to those obtained in batch reactions.

Publication DOI: https://doi.org/10.1021/acsmacrolett.3c00600
Divisions: College of Engineering & Physical Sciences
Aston University (General)
Funding Information: The authors would like to thank the University of Birmingham and China Scholarship Council for funding and support.
Additional Information: Copyright © 2023 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).
Publication ISSN: 2161-1653
Last Modified: 15 Nov 2024 17:02
Date Deposited: 08 Nov 2024 13:42
Full Text Link:
Related URLs: https://pubs.ac ... crolett.3c00600 (Publisher URL)
PURE Output Type: Article
Published Date: 2023-12-19
Published Online Date: 2023-11-16
Accepted Date: 2023-11-14
Authors: Xiao, Laihui
Parkinson, Sam J. (ORCID Profile 0000-0002-4103-945X)
XIA, TIANLAI
Edge, Phillippa
O'Reilly, Rachel K.

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