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Can I read Cr3+/Y3+ co-doped persistent luminescence nanoparticles with biological window activation for in vivo repeatable imaging on EtoBox?
Cr3+/Y3+ co-doped persistent luminescence nanoparticles with biological window activation for in vivo repeatable imaging by Huimin Jiang; Lin Liu; Kexin Yu; Xianggui Yin; Shenghui Zheng; Liang Song; Junpeng Shi; Yun Zhang is a Materials Science article available to read on EtoBox.
What is Cr3+/Y3+ co-doped persistent luminescence nanoparticles with biological window activation for in vivo repeatable imaging about?
The near-infrared (NIR) persistent luminescence materials (PLMs) can remain long-lasting luminescence after removal of the excitation light, which permits bioimaging with high sensitivity owing to the absence of background fluorescence interference from in situ excitation. Recently, the NIR PLMs have aroused intensive research interest in bioimaging. However, the optimal excitation wavelength of current NIR PLMs is located in the ultraviolet region with shallow tissue penetration, making it difficult to activate effectively in vivo, and seriously hindering their further application in bioimaging. Herein, we report a novel kind of Cr 3þ ions and Y 3þ ions co-doped NIR PLM, Zn 1.3 Ga 1.4 Sn 0.3 O 4 :Cr 3þ ,Y 3þ (ZGSCY), which emits NIR persistent luminescence at 696 nm. Compared with Zn 1.3 Ga 1.4 Sn 0.3 O 4 :Cr 3þ (ZGSC) excited by the light with a wavelength in the biological window (>650 nm), after being co-doped with Y 3þ ions, the NIR persistent luminescence performance of ZGSCY is significantly improved because of the increase of trap concentration in the matrix. In addition, we synthesized ZGSCY nanoparticles (NPs) by the combustion method, which exhibit excellent optical prop
Who reads Cr3+/Y3+ co-doped persistent luminescence nanoparticles with biological window activation for in vivo repeatable imaging?
It is typically read by researchers, students, and practitioners in Materials Science.
- Author
- Huimin Jiang; Lin Liu; Kexin Yu; Xianggui Yin; Shenghui Zheng; Liang Song; Junpeng Shi; Yun Zhang
- Publisher
- Elsevier BV
- Published
- 2022
- Language
- EN
- Field
- Materials Science (Physical Sciences)