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本文引用的文献

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Complex Nanoparticle Diffusional Motion in Liquid-Cell Transmission Electron Microscopy.液体池透射电子显微镜中的复杂纳米颗粒扩散运动
J Phys Chem C Nanomater Interfaces. 2020 Jul 9;124(27):14881-14890. doi: 10.1021/acs.jpcc.0c03203. Epub 2020 Jun 10.
2
Towards data-driven next-generation transmission electron microscopy.迈向数据驱动的下一代透射电子显微镜。
Nat Mater. 2021 Mar;20(3):274-279. doi: 10.1038/s41563-020-00833-z.
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Unhindered Brownian Motion of Individual Nanoparticles in Liquid-Phase Scanning Transmission Electron Microscopy.在液相扫描透射电子显微镜中,单个纳米粒子的无阻碍布朗运动。
Nano Lett. 2020 Oct 14;20(10):7108-7115. doi: 10.1021/acs.nanolett.0c02352. Epub 2020 Sep 2.
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Liquid-Phase Electron Microscopy for Soft Matter Science and Biology.液相电子显微镜在软物质科学和生物学中的应用。
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Temporally Anticorrelated Subdiffusion in Water Nanofilms on Silica Suggests Near-Surface Viscoelasticity.水在二氧化硅纳米薄膜中的类扩散与时间反相关,这表明了近表面的粘弹性。
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Measurement Challenges in Dynamic and Nonequilibrium Nanoscale Systems.动态和非平衡纳米系统中的测量挑战。
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Single-Particle Diffusion Characterization by Deep Learning.基于深度学习的单颗粒扩散特征分析。
Biophys J. 2019 Jul 23;117(2):185-192. doi: 10.1016/j.bpj.2019.06.015. Epub 2019 Jun 22.
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Direct Observations of the Rotation and Translation of Anisotropic Nanoparticles Adsorbed at a Liquid-Solid Interface.对吸附在液-固界面的各向异性纳米颗粒的旋转和平移的直接观测。
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Dynamics of Nanoscale Dendrite Formation in Solution Growth Revealed Through in Situ Liquid Cell Electron Microscopy.通过原位液芯电子显微镜揭示溶液生长中纳米枝晶形成的动力学。
Nano Lett. 2018 Oct 10;18(10):6427-6433. doi: 10.1021/acs.nanolett.8b02819. Epub 2018 Sep 28.

深度学习辅助分析揭示了 LCTEM 中异常的纳米颗粒表面扩散。

Anomalous nanoparticle surface diffusion in LCTEM is revealed by deep learning-assisted analysis.

机构信息

Department of Chemistry, University of California, Berkeley, CA 94720.

Department of Chemical and Biomolecular Engineering, University of California, Berkeley, CA 94720.

出版信息

Proc Natl Acad Sci U S A. 2021 Mar 9;118(10). doi: 10.1073/pnas.2017616118.

DOI:10.1073/pnas.2017616118
PMID:33658362
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7958372/
Abstract

The motion of nanoparticles near surfaces is of fundamental importance in physics, biology, and chemistry. Liquid cell transmission electron microscopy (LCTEM) is a promising technique for studying motion of nanoparticles with high spatial resolution. Yet, the lack of understanding of how the electron beam of the microscope affects the particle motion has held back advancement in using LCTEM for in situ single nanoparticle and macromolecule tracking at interfaces. Here, we experimentally studied the motion of a model system of gold nanoparticles dispersed in water and moving adjacent to the silicon nitride membrane of a commercial LC in a broad range of electron beam dose rates. We find that the nanoparticles exhibit anomalous diffusive behavior modulated by the electron beam dose rate. We characterized the anomalous diffusion of nanoparticles in LCTEM using a convolutional deep neural-network model and canonical statistical tests. The results demonstrate that the nanoparticle motion is governed by fractional Brownian motion at low dose rates, resembling diffusion in a viscoelastic medium, and continuous-time random walk at high dose rates, resembling diffusion on an energy landscape with pinning sites. Both behaviors can be explained by the presence of silanol molecular species on the surface of the silicon nitride membrane and the ionic species in solution formed by radiolysis of water in presence of the electron beam.

摘要

纳米粒子在表面附近的运动在物理学、生物学和化学中具有重要意义。液体细胞透射电子显微镜(LCTEM)是一种很有前途的技术,可以用于研究具有高空间分辨率的纳米粒子的运动。然而,由于缺乏对电子束如何影响粒子运动的理解,阻碍了将 LCTEM 用于界面处的原位单纳米粒子和大分子跟踪的进展。在这里,我们通过实验研究了金纳米粒子在水中的模型系统的运动,该系统在商业 LC 的氮化硅膜附近移动,并在广泛的电子束剂量率范围内进行研究。我们发现纳米粒子表现出由电子束剂量率调制的异常扩散行为。我们使用卷积深度神经网络模型和正则统计测试对 LCTEM 中的纳米粒子异常扩散进行了表征。结果表明,在低剂量率下,纳米粒子的运动受分数布朗运动控制,类似于粘弹性介质中的扩散,在高剂量率下,类似于具有钉扎位的能量景观上的连续时间随机漫步,类似于扩散。这两种行为都可以用氮化硅膜表面上的硅醇分子种类和电子束存在下水中的辐射分解形成的溶液中的离子种类来解释。