Probing hidden colloidal transitions with the assistance of surface plasmons

Literature Information

Publication Date 2019-07-05
DOI 10.1039/C9CP02463H
Impact Factor 3.676
Authors

Fangfang Deng, Yunxia Wang, Xiaolin Lu, Tao Ding


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Abstract

Actuating plasmonic nanoparticles with responsive hydrogels has led to many useful applications but an understanding of how exactly the assembly and disassembly happen remains ambiguous. Conventional views about this system mainly recognize this reversible process as a bi-switch between dispersed and aggregated states. However, in this paper, a hidden vesicle intermediate is revealed by probing changes in plasmon resonances with temperature. The critical factor that influences such a vesicle state originates from the different aggregation modes between polymers and Au NPs. Our theoretical model, along with experimental evidence, further supports this mechanism. This new insight not only provides a kinetic means to modify self-assemblies by engineering the polymer aggregation rate but it also has great implications for the dynamics of colloid/polymer interactions in general.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
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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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