A1 Journal article (refereed)
Real-space imaging with pattern recognition of a ligand-protected Ag374 nanocluster at sub-molecular resolution (2018)


Zhou, Q., Kaappa, S., Malola, S., Lu, H., Guan, D., Li, Y., Wang, H., Xie, Z., Ma, Z., Häkkinen, H., Zheng, N., Yang, X., & Zheng, L. (2018). Real-space imaging with pattern recognition of a ligand-protected Ag374 nanocluster at sub-molecular resolution. Nature Communications, 9, Article 2948. https://doi.org/10.1038/s41467-018-05372-5


JYU authors or editors


Publication details

All authors or editors: Zhou, Qin; Kaappa, Sami; Malola, Sami; Lu, Hui; Guan, Dawei; Li, Yajuan; Wang, Haochen; Xie, Zhaoxiong; Ma, Zhibo; Häkkinen, Hannu; et al.

Journal or series: Nature Communications

ISSN: 2041-1723

eISSN: 2041-1723

Publication year: 2018

Volume: 9

Issue number: 0

Article number: 2948

Publisher: Nature Publishing Group

Publication country: United Kingdom

Publication language: English

DOI: https://doi.org/10.1038/s41467-018-05372-5

Publication open access: Openly available

Publication channel open access: Open Access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/59110


Abstract

High-resolution real-space imaging of nanoparticle surfaces is desirable for better understanding of surface composition and morphology, molecular interactions at the surface, and nanoparticle chemical functionality in its environment. However, achieving molecular or sub-molecular resolution has proven to be very challenging, due to highly curved nanoparticle surfaces and often insufficient knowledge of the monolayer composition. Here, we demonstrate sub-molecular resolution in scanning tunneling microscopy imaging of thiol monolayer of a 5 nm nanoparticle Ag374 protected by tert-butyl benzene thiol. The experimental data is confirmed by comparisons through a pattern recognition algorithm to simulated topography images from density functional theory using the known total structure of the Ag374 nanocluster. Our work demonstrates a working methodology for investigations of structure and composition of organic monolayers on curved nanoparticle surfaces, which helps designing functionalities for nanoparticle-based applications.


Keywords: nanoparticles; imaging; microscopy

Free keywords: high-resolution real-space imaging; nanoparticle surfaces; surface composition; morphology


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Ministry reporting: Yes

Reporting Year: 2018

JUFO rating: 3


Last updated on 2021-09-06 at 03:26