Recyclable Heterogeneous Photocatalysts Using Linear Conjugated Polymers for Red‐Light‐Driven Photo‐ <scp>ATRP</scp>

ABSTRACT We demonstrate that the commercially available linear conjugated polymer PffBT4T‐2OD, widely used in organic photovoltaics, can be directly repurposed as a heterogeneous photocatalyst for Cu‐mediated atom transfer radical polymerization (photo‐ATRP) under deep red light (690 nm). In combination with CuBr 2 /Me 6 TREN, this dual catalytic system mediates well‐controlled polymerization of a range of acrylate and methacrylate monomers, affording polymers with narrow molecular‐weight distributions ( Đ down to 1.07 at 1000 ppm CuBr 2 ), even under ultralow copper loading conditions ( Đ ≈1.16 at 25 ppm CuBr 2 ). The heterogeneous polymer photocatalyst can be readily recovered and reused for at least five cycles without appreciable loss of activity, and the system shows significant tolerance toward dissolved oxygen, enabling polymerization without rigorous deoxygenation. Electrochemical, spectroscopic, and EPR studies indicate that photoexcited PffBT4T‐2OD reduces Cu II to Cu I both directly and through an amine‐mediated pathway, consistent with a conventional photo‐ATRP activation–deactivation mechanism. This work introduces a simple, deep‐red‐responsive, and recyclable OPV‐based photocatalyst to the existing photo‐ATRP toolkit, providing a practical option for metal‐efficient polymer synthesis.

Authors

Institutions

Publication Details

Journal
Journal of Polymer Science
Published
2026-04-12
DOI
https://doi.org/10.1002/pola.70120
Primary Topic
Advanced Polymer Synthesis and Characterization
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Recyclable Heterogeneous Photocatalysts Using Linear Conjugated Polymers for Red‐Light‐Driven Photo‐ ATRP

Zhiquan Li, X. X. Liu, Qinghong Luo, Ting Zhang et al.
Journal of Polymer Science
Advanced Polymer Synthesis and Characterization
article

Recyclable Heterogeneous Photocatalysts Using Linear Conjugated Polymers for Red‐Light‐Driven Photo‐ ATRP

Zhiquan Li, X. X. Liu, Qinghong Luo, Ting Zhang, Yushu Zhang, Shufang Wu, Zeliang Chen
article en

Abstract

ABSTRACT We demonstrate that the commercially available linear conjugated polymer PffBT4T‐2OD, widely used in organic photovoltaics, can be directly repurposed as a heterogeneous photocatalyst for Cu‐mediated atom transfer radical polymerization (photo‐ATRP) under deep red light (690 nm). In combination with CuBr 2 /Me 6 TREN, this dual catalytic system mediates well‐controlled polymerization of a range of acrylate and methacrylate monomers, affording polymers with narrow molecular‐weight distributions ( Đ down to 1.07 at 1000 ppm CuBr 2 ), even under ultralow copper loading conditions ( Đ ≈1.16 at 25 ppm CuBr 2 ). The heterogeneous polymer photocatalyst can be readily recovered and reused for at least five cycles without appreciable loss of activity, and the system shows significant tolerance toward dissolved oxygen, enabling polymerization without rigorous deoxygenation. Electrochemical, spectroscopic, and EPR studies indicate that photoexcited PffBT4T‐2OD reduces Cu II to Cu I both directly and through an amine‐mediated pathway, consistent with a conventional photo‐ATRP activation–deactivation mechanism. This work introduces a simple, deep‐red‐responsive, and recyclable OPV‐based photocatalyst to the existing photo‐ATRP toolkit, providing a practical option for metal‐efficient polymer synthesis.

Journal of Polymer Science
Guangdong University of Technology (CN), Zhaoqing University (CN), Shaoguan University (CN), Xinyang Agriculture and Forestry University (CN), Huizhou University (CN)
Natural Science Foundation of Guangdong Province
Openalex Percentile: Top 8%
Advanced Polymer Synthesis and Characterization
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.