Predicting Monomers for Use in Polymerization‐Induced Self‐Assembly. Issue 48 (8th November 2018)

• Record Type: Journal Article
• Authors: Foster, Jeffrey C.; Varlas, Spyridon; Couturaud, Benoit; Jones, Joseph R.; Keogh, Robert; Mathers, Robert T.; O'Reilly, Rachel K.
• Is Part Of: Angewandte Chemie international edition. Volume 57:Issue 48(2018)
• Page Start: 15733
• Page End: 15737
• Publication Date: 2018-11-08
• Subjects: nanoparticles -- PISA -- polymer hydrophobicity -- RAFT polymerization -- structure–property relationships; Chemistry -- Periodicals; 540
• DOI: 10.1002/anie.201809614
• Languages: English
• ISSNs: 1433-7851

Abstract

Abstract: We report an in silico method to predict monomers suitable for use in polymerization‐induced self‐assembly (PISA). By calculating the dependence of Log P oct /surface area (SA) on the length of the growing polymer chain, the change in hydrophobicity during polymerization was determined. This allowed for evaluation of the capability of a monomer to polymerize to form self‐assembled structures during chain extension. Using this method, we identified five new monomers for use in aqueous PISA via reversible addition‐fragmentation chain transfer (RAFT) polymerization, and confirmed that these all successfully underwent PISA to produce nanostructures of various morphologies. The results obtained using this method correlated well with and predicted the differences in morphology obtained from the PISA of block copolymers of similar molecular weight but different chemical structures. Thus, we propose this method can be utilized for the discovery of new monomers for PISA and also the prediction of their self‐assembly behavior. Abstract : PISA studies : A method to predict monomers suitable for use in polymerization‐induced self‐assembly (PISA) calculates the dependence of Log P oct /surface area on the length of the growing polymer chain. Five new monomers for use in aqueous PISA via RAFT polymerization were identified.