Evidence map›Paper›PMID 42555551›Full record

ArticleAngewandte Chemie (International ed. in English)2026

Visible-Light-Induced Carbon-Hydrogen Phosphonylation of Conjugated Polymers via Electron Donor-Acceptor Complex Activation.

Tomohiro Tamano, Kohei Taniguchi, Yoichiro Eriguchi, Kosuke Sato, Shinsuke Inagi

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Tomohiro TamanoDepartment of Chemical Science and Engineering, School of Materials and Chemical Technology, Institute of Science Tokyo, Yokohama, Japan.
Kohei TaniguchiDepartment of Chemical Science and Engineering, School of Materials and Chemical Technology, Institute of Science Tokyo, Yokohama, Japan.ORCID https://orcid.org/0000-0002-4318-5696
Yoichiro EriguchiDepartment of Chemical Science and Engineering, School of Materials and Chemical Technology, Institute of Science Tokyo, Yokohama, Japan.
Kosuke SatoDepartment of Chemical Science and Engineering, School of Materials and Chemical Technology, Institute of Science Tokyo, Yokohama, Japan.ORCID https://orcid.org/0000-0003-3914-0249
Shinsuke InagiDepartment of Chemical Science and Engineering, School of Materials and Chemical Technology, Institute of Science Tokyo, Yokohama, Japan.ORCID https://orcid.org/0000-0002-9867-1210

Funding

Grant-in-Aid for Transformative Research Areas (A) Green Catalysis Science for Renovating Transformation of Carbon-Based Resources (Green Catalysis Science) JP23H04914Grant-in-Aid for Transformative Research Areas (A) Green Catalysis Science for Renovating Transformation of Carbon-Based Resources (Green Catalysis Science) JP25K22268 JP23KJ0948
6 · The paper itself

Abstract

Electron donor-acceptor (EDA) complexation has emerged as a sustainable strategy for visible-light-driven reactions. Although numerous EDA-based transformations have been applied to small aromatic molecules, conjugated polymers (CPs) have not yet been explored as substrates for EDA-mediated functionalization. Polymer-based EDA complexes comprise extended π-conjugation systems that reduce exciton-binding energy and facilitate red-shifted absorption, thereby enabling efficient visible-light harvesting. These characteristics are expected to intrinsically promote photoinduced functionalization. Here, we demonstrate the photochemical phosphonylation of poly(9,9-dioctylfluorene) (PFO) induced via the visible-light activation of its EDA complex. Compared with a monomeric model compound, the reaction of PFO proceeded more efficiently, indicating that CPs are promising substrates for EDA-excitation-initiated photochemical transformations. Phosphonylation predominantly proceeded at the 4-position of the fluorene units, thereby preserving the effective π-conjugation length of the polymer backbone. Furthermore, density functional theory calculations revealed that the greater stability of the intermediate species and the lower excitation energy required for 4-position substitution favored that pathway over 3-position substitution. This study establishes a new platform for integrating CPs into EDA-mediated photochemical reactions, offering a facile and sustainable route for the synthesis of versatile functional polymer materials.

Indexed as

conjugated polymerelectron donor–acceptor complexphosphonylationphotochemical reactionpostfunctionalization

Identifiers

PMID42555551
PMCPMC13618260

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.