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Formation of a Miscible Supramolecular Polymer Blend through Self-Assembly Mediated by a Quadruply Hydrogen-Bonded Heterocomplex

Park, Taiho, Zimmerman, Steven C.·2006·Journal of the American Chemical Society

Abstract

A supramolecular network polymer consisting of a pair of immiscible polymers, poly(butyl)methacrylate (PBMA) and polystyrene (PS), is described. A urea of guanosine (1, UG) and 2,7-diamido-1,8-naphthyridine (2, DAN), which form an exceptionally strong quadruply hydrogen-bonding complex, are displayed at 1-10 mol % along the main backbone of PBMA and PS, respectively. (1)H NMR studies show heterocomplexation between UG and DAN exclusively. This high-fidelity, high-affinity supramolecular connection of two different polymer coils at the molecular level produces a polymer blend. Blends containing different weight ratios of the polymers and mole percent of the recognition units were characterized by AFM and DSC experiments with no isolated domains observed and a single glass-transition temperature (T(g)). The T(g) is tunable by varying the weight ratio of the polymers in the blend. In addition, viscosity measurements, size-exclusion chromatography (SEC), and dynamic light-scattering (DLS) studies demonstrate the formation of a supramolecular network structure.

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Metadata

Authors
Park, T., & Zimmerman, S. C.
Venue
Journal of the American Chemical Society
Published
2006-08-11
Volume
128
Issue
35
Pages
11582-11590
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W2078599818
Cited by
244
References
0
FWCI
7.58
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Formation of a Miscible Supramolecular Polymer Blend through Self-Assembly Mediated by a Quadruply Hydrogen-Bonded Heterocomplex. https://app.cochat.ai/papers/10.1021/ja0631854
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Park, T., & Zimmerman, S. C. (2006). Formation of a Miscible Supramolecular Polymer Blend through Self-Assembly Mediated by a Quadruply Hydrogen-Bonded Heterocomplex. Journal of the American Chemical Society. https://doi.org/10.1021/ja0631854

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