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    Streamlined Mesoporous Silica Nanoparticles with Tunable Curvature from Interfacial Dynamic-Migration Strategy for Nanomotors

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    Date
    2021
    Author
    Ma, Yuzhu
    Xu, Li
    Xu, Borui
    Lan, Kun
    Duan, Linlin
    Liu, Mengli
    Chen, Liang
    Zhao, Tiancong
    Zhang, Jun-Ye
    Lv, Zirui
    Elzatahry, Ahmed A.
    Li, Xiaomin
    Zhao, Dongyuan
    ...show more authors ...show less authors
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    Abstract
    Streamlined architectures with a low fluid-resistance coefficient have been receiving great attention in various fields. However, it is still a great challenge to synthesize streamlined architecture with tunable surface curvature at the nanoscale. Herein, we report a facile interfacial dynamic migration strategy for the synthesis of streamlined mesoporous nanotadpoles with varied architectures. These tadpole-like nanoparticles possess a big streamlined head and a slender tail, which exhibit large inner cavities (75–170 nm), high surface areas (424–488 m2 g–1), and uniform mesopore sizes (2.4–3.2 nm). The head curvature of the streamlined mesoporous nanoparticles can be well-tuned from ∼2.96 × 10–2 to ∼5.56 × 10–2 nm–1, and the tail length can also be regulated from ∼30 to ∼650 nm. By selectively loading the Fe3O4 catalyst in the cavity of the streamlined silica nanotadpoles, the H2O2-driven mesoporous nanomotors were designed. The mesoporous nanomotors with optimized structural parameters exhibit outstanding directionality and a diffusion coefficient of 8.15 μm2 s–1
    DOI/handle
    http://dx.doi.org/10.1021/acs.nanolett.1c01404
    http://hdl.handle.net/10576/31351
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