Atomic‐Precision Gold Clusters for NIR‐II Imaging

Haile Liu(Tianjin University of Technology), Guosong Hong(Stanford University), Zhentao Luo(National University of Singapore), Junchi Chen(Tianjin University of Technology), Junlei Chang(Stanford University), Ming Gong(Stanford University), Hua He(Stanford University), Yang Jiang(Stanford University), Xun Yuan(National University of Singapore), Lulin Li(Palo Alto Veterans Institute for Research), Xiaoyu Mu(Tianjin University of Technology), Junying Wang(Tianjin University of Technology), Wenbo Mi(Tianjin University of Technology), Jian Luo(Palo Alto Veterans Institute for Research), Jianping Xie(Tianjin University), Xiaodong Zhang(Tianjin University of Technology)
Advanced Materials
October 1, 2019
Cited by 427

Abstract

Abstract Near‐infrared II (NIR‐II) imaging at 1100–1700 nm shows great promise for medical diagnosis related to blood vessels because it possesses deep penetration and high resolution in biological tissue. Unfortunately, currently available NIR‐II fluorophores exhibit slow excretion and low brightness, which prevents their potential medical applications. An atomic‐precision gold (Au) cluster with 25 gold atoms and 18 peptide ligands is presented. The Au 25 clusters show emission at 1100–1350 nm and the fluorescence quantum yield is significantly increased by metal‐atom doping. Bright gold clusters can penetrate deep tissue and can be applied in in vivo brain vessel imaging and tumor metastasis. Time‐resolved brain blood‐flow imaging shows significant differences between healthy and injured mice with different brain diseases in vivo. High‐resolution imaging of cancer metastasis allows for the identification of the primary tumor, blood vessel, and lymphatic metastasis. In addition, gold clusters with NIR‐II fluorescence are used to monitor high‐resolution imaging of kidney at a depth of 0.61 cm, and the quantitative measurement shows 86% of the gold clusters are cleared from body without any acute or long‐term toxicity at a dose of 100 mg kg −1 .


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