pH-responsive self-assembly of carboxyl-terminated hyperbranched polymers

Literature Information

Publication Date 2007-01-23
DOI 10.1039/B615525C
Impact Factor 3.676
Authors

Wenyong Dong, Yongfeng Zhou, Deyue Yan, Huiqin Li, Yu Liu


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Abstract

This work has presented a typical example to reveal the great influence of the terminal groups on the self-assembly of hyperbranched polymers. The hyperbranched polymers with hydroxyl terminal groups (HBPO-OH) were hydrophobic and precipitated in water, however, they displayed a pH-responsive self-assembly behavior when the terminal groups were replaced by carboxyl groups. The obtained carboxyl-terminated hyperbranched polymers (HBPO-COOH) existed as unimolecular micelles at high pH (12.21) due to the ionization of carboxyl groups, while the polymers aggregated into multimolecular micelles from 10 to 500 nm with the decrease of pH as a result of the partial protonation of the carboxyl groups. The size of the obtained micelles depended strongly on the solution pH—the lower the pH, the bigger the micelles. TEM, DLS, ATR-FT-IR, 1H NMR and AFM measurements substantiated that the multimolecular micelles were formed by the secondary aggregation of unimolecular micelles driven by the hydrogen bonding interaction depending on the solution pH.

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Source Journal

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
Articles per Year: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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