Evidence map›Paper›PMID 41532195›Full record

ArticleAngewandte Chemie (International ed. in English)2026

Multicatalytic Access to Renewable Poly(Silyl Ether)s with Tunable Properties.

Fan Yang, Fan Sun, Christophe M Thomas

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Multicatalytic Access to Renewable Poly(Silyl Ether)s with Tunable Properties.Angewandte Chemie (International ed. in English) · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Fan YangInstitut de Recherche de Chimie Paris, CNRS, Chimie ParisTech, PSL University, Paris, 75005, France.
Fan SunInstitut de Recherche de Chimie Paris, CNRS, Chimie ParisTech, PSL University, Paris, 75005, France.
Christophe M ThomasInstitut de Recherche de Chimie Paris, CNRS, Chimie ParisTech, PSL University, Paris, 75005, France.ORCID https://orcid.org/0000-0001-8014-4255

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global reliance on petroleum-based polymers presents urgent sustainability challenges. Addressing this issue, we present a novel one-pot multicatalytic strategy for synthesizing partially bio-based poly(silyl ether)s with tunable properties. This method combines magnesium-catalyzed esterification of bio-based diacids and alcohols with borane-catalyzed hydrosilylation under mild conditions. This approach enables direct incorporation of ester functionalities into the polymer backbone, affording high-molecular-weight poly(silyl ether)s with tunable architectures and thermal profiles. The method demonstrates excellent catalyst compatibility and scalability, significantly reducing purification steps while broadening monomer scope. Beyond thermal robustness, the resulting materials exhibit remarkable mechanical performance. Preliminary tensile tests revealed distinctive deformation behavior, with certain polymers achieving extraordinary extensibility (elongation at break > 3800%) and high energy absorption, attributed to the synergistic interplay between flexible siloxane segments and dynamic silyl ether linkages. Degradation studies confirm efficient chemical recycling, underscoring the potential of this one-pot process to deliver sustainable, high-performance polymers with customizable properties for advanced applications.

Indexed as

Bio‐based polymersDegradableMulticatalytic systemOne‐pot polymerizationPoly(silyl ether)s

Identifiers

PMID41532195
PMCPMC12910142

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.