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Issue 19, 2018
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A high performance Sc-based nanoprobe for through-skull fluorescence imaging of brain vessels beyond 1500 nm

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Abstract

Optical bioimaging that works in the second near infrared region (NIR-II, 1000–1700 nm) has emerged as a next generation imaging technique with superior imaging sensitivity and spatial resolution compared to traditional optical imaging utilizing visible and near-infrared lights (below 900 nm). Herein, a new Sc-based NIR-II probe was explored for high performance NIR-II in vivo bioimaging and optical imaging-guided non-invasive brain blood vessel visualization. The lanthanide doped Sc-based probes (KSc2F7:Yb3+/Er3+) possess a pure orthorhombic phase structure with size control by adjusting the F ion content. These probes present a dominant red upconversion (UC) emission, which is significantly different from the traditional NaYF4:Yb/Er host, which usually has a green UC emission. More importantly, apart from the dominant red UC emission, these probes also possess a strong NIR-II downconversion (DC) emission centered at 1525 nm, which is usually ignored for bioimaging applications. In vivo NIR-II imaging reveals that our explored Sc-based nanorods are promising probes for highly sensitive optical imaging. Moreover, non-invasive through-skull fluorescence bioimaging of brain vessels with high spatial resolution was demonstrated. Therefore, it is expected that Sc-based nanomaterials with unique dominant red UC and DC NIR-II emissions beyond 1500 nm are ideal probes for bio-applications.

Graphical abstract: A high performance Sc-based nanoprobe for through-skull fluorescence imaging of brain vessels beyond 1500 nm

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Publication details

The article was received on 12 Jan 2018, accepted on 22 Apr 2018 and first published on 25 Apr 2018


Article type: Paper
DOI: 10.1039/C8NR00305J
Citation: Nanoscale, 2018,10, 9393-9400
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    A high performance Sc-based nanoprobe for through-skull fluorescence imaging of brain vessels beyond 1500 nm

    Z. Deng, X. Li, Z. Xue, M. Jiang, Y. Li, S. Zeng and H. Liu, Nanoscale, 2018, 10, 9393
    DOI: 10.1039/C8NR00305J

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