Self-thermophoretic motion of controlled assembled micro-/nanomotors

文献信息

发布日期 2017-05-22

DOI 10.1039/C7CP02561K

影响因子 3.676

作者

Xiankun Lin, Tieyan Si, Zhiguang Wu, Qiang He

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摘要

As artificial active colloids, micro-/nanomotors (MNMs) can convert energy from the environment into mechanical motion in different fluids, showing potential applications in diverse fields such as targeted drug delivery and photothermal therapy. However, chemical fuels for typical catalytic MNMs, e.g., hydrogen peroxide, are highly toxic to organisms, and thus fuel-free MNMs are required. Recently, we have developed near-infrared light (NIR) propelled MNMs through integrating plasmonic gold nanoshells into nanoparticles or layer-by-layer assemblies in an asymmetric manner. In this perspective, we give an account of self-thermophoresis motion of these NIR-powered MNMs. The design of the motor architectures, as well as the theoretical study on the propulsion mechanism, is highlighted. We believe that the insights into self-thermophoretic motion would pave the way to access powerful MNMs for future applications and to explore interesting collective behaviors of active matter.

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来源期刊

Physical Chemistry Chemical Physics

CiteScore: 5.5

自引率: 10.3%

年发文量: 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.