Literature DB >> 28221701

Accelerated Combinatorial High Throughput Star Polymer Synthesis via a Rapid One-Pot Sequential Aqueous RAFT (rosa-RAFT) Polymerization Scheme.

Steffen Cosson1,2, Maarten Danial2, Julien Rosselgong Saint-Amans2, Justin J Cooper-White1,2,3.   

Abstract

Advanced polymerization methodologies, such as reversible addition-fragmentation transfer (RAFT), allow unprecedented control over star polymer composition, topology, and functionality. However, using RAFT to produce high throughput (HTP) combinatorial star polymer libraries remains, to date, impracticable due to several technical limitations. Herein, the methodology "rapid one-pot sequential aqueous RAFT" or "rosa-RAFT," in which well-defined homo-, copolymer, and mikto-arm star polymers can be prepared in very low to medium reaction volumes (50 µL to 2 mL) via an "arm-first" approach in air within minutes, is reported. Due to the high conversion of a variety of acrylamide/acrylate monomers achieved during each successive short reaction step (each taking 3 min), the requirement for intermediary purification is avoided, drastically facilitating and accelerating the star synthesis process. The presented methodology enables RAFT to be applied to HTP polymeric bio/nanomaterials discovery pipelines, in which hundreds of complex polymeric formulations can be rapidly produced, screened, and scaled up for assessment in a wide range of applications.
© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  high throughput screening; mikto-arm star polymer; reversible addition-fragmentation chain transfer (RAFT)

Mesh:

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Year:  2017        PMID: 28221701     DOI: 10.1002/marc.201600780

Source DB:  PubMed          Journal:  Macromol Rapid Commun        ISSN: 1022-1336            Impact factor:   5.734


  1 in total

1.  Synthesis of well-defined star, star-block, and miktoarm star biodegradable polymers based on PLLA and PCL by one-pot azide-alkyne click reaction.

Authors:  Xiaoqi Yan; Jianbo Li; Tianbin Ren
Journal:  RSC Adv       Date:  2018-08-20       Impact factor: 4.036

  1 in total

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