Automated closed-loop continuous flow block copolymer synthesizer

A fully automated continuous flow synthesizer for diblock copolymer (BCP) synthesis was constructed comprising elements of flow chemistry, automation, machine learning and in-line monitoring. A new method using in-line FTIR spectroscopic analysis for accurate determination of monomer conversion (with an error as low as 2% relative to an NMR spectroscopic baseline) is presented, thereby generating a reliable feedback system for reaction self-optimisation using the platform. By employing reversible addition-fragmentation chain transfer (RAFT) polymerization at 100 °C, acrylates and acrylamides of different hydrophilicities (namely methyl acrylate, ethyl acrylate, butyl acrylate, 2-ethylhexyl acrylate, 2-hydroxyethyl acrylate, ethylene glycol methyl ether acrylate, diethylene glycol ethyl ether acrylate, 2-(dimethylamino)ethyl acrylate, acrylamide & <i>N</i>,<i>N</i>-dimethylacrylamide) were polymerized to make mixed BCPs, targeting different degrees of polymerization (15 to 100). Samples were collected automatically, and a BCP material library comprising 95 diblock copolymers (7 sets of double hydrophobic, 7 sets of amphiphilic and 3 sets of double hydrophilic monomer systems) with <i>M</i> <sub>n</sub> ranging from 1800 g mol<sup>-1</sup> to 14 700 g mol<sup>-1</sup>, was obtained in a high-throughput manner, with minimal human intervention throughout the entire process.

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Publication Details

Journal
Chemical Science
Published
2025-12-23
DOI
https://doi.org/10.1039/d5sc07307c
Primary Topic
Block Copolymer Self-Assembly
Type
article
Field-Weighted Citation Impact
0.00

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article

Automated closed-loop continuous flow block copolymer synthesizer

Taifur Rahman, WeiNian Wong, Daniel Phillips, Tanja Junkers
Chemical Science
Block Copolymer Self-Assembly
article

Automated closed-loop continuous flow block copolymer synthesizer

Taifur Rahman, WeiNian Wong, Daniel Phillips, Tanja Junkers
article en

Abstract

A fully automated continuous flow synthesizer for diblock copolymer (BCP) synthesis was constructed comprising elements of flow chemistry, automation, machine learning and in-line monitoring. A new method using in-line FTIR spectroscopic analysis for accurate determination of monomer conversion (with an error as low as 2% relative to an NMR spectroscopic baseline) is presented, thereby generating a reliable feedback system for reaction self-optimisation using the platform. By employing reversible addition-fragmentation chain transfer (RAFT) polymerization at 100 °C, acrylates and acrylamides of different hydrophilicities (namely methyl acrylate, ethyl acrylate, butyl acrylate, 2-ethylhexyl acrylate, 2-hydroxyethyl acrylate, ethylene glycol methyl ether acrylate, diethylene glycol ethyl ether acrylate, 2-(dimethylamino)ethyl acrylate, acrylamide & <i>N</i>,<i>N</i>-dimethylacrylamide) were polymerized to make mixed BCPs, targeting different degrees of polymerization (15 to 100). Samples were collected automatically, and a BCP material library comprising 95 diblock copolymers (7 sets of double hydrophobic, 7 sets of amphiphilic and 3 sets of double hydrophilic monomer systems) with <i>M</i> <sub>n</sub> ranging from 1800 g mol<sup>-1</sup> to 14 700 g mol<sup>-1</sup>, was obtained in a high-throughput manner, with minimal human intervention throughout the entire process.

Chemical ScienceVol. 17(8)
Infineum (United Kingdom) (GB), Monash University (AU)
Australian Government
Openalex Percentile: Top 48%
Block Copolymer Self-Assembly
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