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  5. Functionalized AIE nanoparticles with efficient deep-red emission, mitochondrial specificity, cancer cell selectivity and multiphoton susceptibility

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Article
en
2017

Functionalized AIE nanoparticles with efficient deep-red emission, mitochondrial specificity, cancer cell selectivity and multiphoton susceptibility

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en
2017
Vol 8 (6)
Vol. 8
DOI: 10.1039/c7sc00908a

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Ben Zhong Tang
Ben Zhong Tang

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Alexander Nicol
Wei Qin
Ryan T. K. Kwok
+8 more

Abstract

Multiphoton microscopy is an exciting tool for biomedical research because it can be used to image single cells in vivo due to its greater penetration depth, lower phototoxicity and higher resolution when compared to confocal laser scanning microscopy. This helps researchers understand how certain cells change over time and evaluate the efficacy of different therapies. Herein, we report a new AIE luminogen (AIEgen), abbreviated as TPE-TETRAD, with a favorable absorption and efficient deep-red emission in the solid state. TPE-TETRAD possesses a high two-photon absorption cross-section (313 MG at 830 nm) and a rich array of non-linear optical properties including aggregation-induced three-photon luminescence. Biotinylated TPE-TETRAD nanoparticles are also fabricated and applied to stain mitochondria in live cancer cells with high specificity. The purpose of this study is to characterize a novel deep-red AIEgen and fabricate biotinylated nanoparticles for applications as (1) biocompatible and photostable AIE probes for specific mitochondria imaging and (2) multiphoton imaging probes suitable for two/three-photon fluorescence microscopy.

How to cite this publication

Alexander Nicol, Wei Qin, Ryan T. K. Kwok, Jeffrey Burkhartsmeyer, Zhenfeng Zhu, Huifang Su, Wenwen Luo, Jacky W. Y. Lam, Jun Qian, Kam Sing Wong, Ben Zhong Tang (2017). Functionalized AIE nanoparticles with efficient deep-red emission, mitochondrial specificity, cancer cell selectivity and multiphoton susceptibility. , 8(6), DOI: https://doi.org/10.1039/c7sc00908a.

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Publication Details

Type

Article

Year

2017

Authors

11

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1039/c7sc00908a

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