Precise polymer synthesis by autonomous self-optimizing flow reactors

Maarten Rubens, Jeroen H. Vrijsen, Joachim Laun, Tanja Junkers

Research output: Contribution to journalArticleResearchpeer-review

35 Citations (Scopus)

Abstract

A novel continuous flow system for automated high-throughput screening, autonomous optimization, and enhanced process control of polymerizations was developed. The computer-controlled platform comprises a flow reactor coupled to size exclusion chromatography (SEC). Molecular weight distributions are measured online and used by a machine-learning algorithm to self-optimize reactions towards a programmed molecular weight by dynamically varying reaction parameters (i.e. residence time, monomer concentration, and control agent/initiator concentration). The autonomous platform allows targeting of molecular weights in a reproducible manner with unprecedented accuracy (<2.5 % deviation from pre-selected goal) for both thermal and light-induced reactions. For the first time, polymers with predefined molecular weights can be custom made under optimal reaction conditions in an automated, high-throughput flow synthesis approach with outstanding reproducibility.

Original languageEnglish
Pages (from-to)3183-3187
Number of pages5
JournalAngewandte Chemie - International Edition
Volume58
Issue number10
DOIs
Publication statusPublished - 4 Mar 2019

Keywords

  • flow reactors
  • machine learning
  • monomers
  • polymers
  • synthetic methods

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