Stereoconvergent Chain-Growth Polymerization

The stereochemistry of polymers has a profound impact on their properties. Despite the well-developed stereoselective methods for prochiral vinyl monomers, current methods for racemic monomers are limited. Conventional approaches treat <i>sp</i> <sup><i>3</i></sup> chiral centers as immutable, resulting in poor atom-economical processes and limited control over enantioselectivity. This contrasts with stereoconvergent catalysis in small molecules, which has revolutionized synthesis by interrupting the transfer of chiral information from the substrate to the product, providing a clear platform for catalysts to access enantiopure compounds from racemic mixtures in up to 100% yield. Here we designed a catalyst that converges stereochemical information during polymerization, enabling access to asymmetric, isotactic polymers with quantitative atom economy from racemic feedstocks. The mechanism of stereoconvergence is accomplished by the catalyst ablating chiral information, followed by a stereoselective propagation event to control both tacticity and enantioselectivity. Using this method, we accessed both enantiomers of an isotactic polymer from a single enantiomer of monomer and identified a novel stereocomplex. These results represent a conceptual framework to expand stereoconvergent polymerization into additional monomers and mechanisms.

Authors

Institutions

Publication Details

Journal
ACS Central Science
Published
2025-05-05
DOI
https://doi.org/10.1021/acscentsci.5c00239
Citations
5
Primary Topic
biodegradable polymer synthesis and properties
Type
article
Field-Weighted Citation Impact
2.99

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Stereoconvergent Chain-Growth Polymerization

Jake R. Jagannathan, Frank A. Leibfarth
5 citations
ACS Central Science
biodegradable polymer synthesis and properties
2.99
article

Stereoconvergent Chain-Growth Polymerization

Jake R. Jagannathan, Frank A. Leibfarth
article en
5 citations

Abstract

The stereochemistry of polymers has a profound impact on their properties. Despite the well-developed stereoselective methods for prochiral vinyl monomers, current methods for racemic monomers are limited. Conventional approaches treat <i>sp</i> <sup><i>3</i></sup> chiral centers as immutable, resulting in poor atom-economical processes and limited control over enantioselectivity. This contrasts with stereoconvergent catalysis in small molecules, which has revolutionized synthesis by interrupting the transfer of chiral information from the substrate to the product, providing a clear platform for catalysts to access enantiopure compounds from racemic mixtures in up to 100% yield. Here we designed a catalyst that converges stereochemical information during polymerization, enabling access to asymmetric, isotactic polymers with quantitative atom economy from racemic feedstocks. The mechanism of stereoconvergence is accomplished by the catalyst ablating chiral information, followed by a stereoselective propagation event to control both tacticity and enantioselectivity. Using this method, we accessed both enantiomers of an isotactic polymer from a single enantiomer of monomer and identified a novel stereocomplex. These results represent a conceptual framework to expand stereoconvergent polymerization into additional monomers and mechanisms.

ACS Central ScienceVol. 11(5)
University of North Carolina at Chapel Hill (US)
Arnold and Mabel Beckman Foundation, National Institute of General Medical Sciences
Openalex Percentile: Top 9%
biodegradable polymer synthesis and properties
2.99
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.