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Cited by 268

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Sequence Control in Polymer Chemistry through the Passerini Three‐Component Reaction

Solleder, Susanne C., Meier, Michael A. R.·2014·Angewandte Chemie International Edition

Abstract

A new strategy to achieve sequence control in polymer chemistry based on the iterative application of the versatile Passerini three‐component reaction (P‐3CR) in combination with efficient thiol–ene addition reactions is introduced. First, stearic acid was used as a starting substrate to build up a sequence‐defined tetramer with a molecular weight of 1.6 kDa. Using an acid‐functionalized PEG allowed for an easier isolation of the sequence‐defined macromolecules by simple precipitation and led to a sequence‐defined pentamer in a block‐copolymer architecture. Importantly, this new strategy completely avoids protecting group chemistry. By following this strategy, a different side chain can be introduced to the polymer/oligomer backbone in a simple way and at a defined position within the macromolecule.

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Crossref · 10.1002/anie.201308960

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Metadata

Authors
Solleder, S. C., & Meier, M. A. R.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2013-12-04
Volume
53
Issue
3
Pages
711-714
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2157822625
Cited by
268
References
4
FWCI
12.80
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Sequence Control in Polymer Chemistry through the Passerini Three‐Component Reaction. https://app.cochat.ai/papers/10.1002/anie.201308960
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Solleder, S. C., & Meier, M. A. R. (2014). Sequence Control in Polymer Chemistry through the Passerini Three‐Component Reaction. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201308960

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.