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Self-illuminating Cu-64-Doped CdSe/ZnS Nanocrystals for in Vivo Tumor Imaging
Sun, Xiaolian ; Huang, Xinglu ; Guo, Jinxia ; Zhu, Wenlei ; Ding, Yong ; Niu, Gang ; Wang, Andrew ; Kiesewetter, Dale O. ; Wang, Zhong Lin ; Sun, Shouheng ; Chen, Xiaoyuan ; Chen XY(陈小元)
刊名http://dx.doi.org/10.1021/ja410438n
2014-02-05
关键词QUANTUM DOTS NANOPARTICLES EXCITATION CONVERSION RADIATION PROBES
英文摘要Intramural Research Program (IRP) of the NIBIB, NIH; Construction of self-illuminating semiconducting nanocrystals, also called quantum dots (QDs), has attracted much attention recently due to their potential as highly sensitive optical probes for biological imaging applications. Here we prepared a self-illuminating QD system by doping positron-emitting radionuclide Cu-64 into CdSe/ZnS core/shell QDs via a cation-exchange reaction. The Cu-64-doped CdSe/ZnS QDs exhibit efficient Cerenkov resonance energy transfer (CRET). The signal of Cu-64 can accurately reflect the biodistribution of the QDs during circulation with no dissociation of Cu-64 from the nanoparticles. We also explored this system for in vivo tumor imaging. This nanoprobe showed high tumor-targeting ability in a U87MG glioblastoma xenograft model (12.796 ID/g at 17 h time point) and feasibility for in vivo luminescence imaging of tumor in the absence of excitation light. The availability of these self-illuminating integrated QDs provides an accurate and convenient tool for in vivo tumor imaging and detection.
语种英语
出版者AMER CHEMICAL SOC
内容类型期刊论文
源URL[http://dspace.xmu.edu.cn/handle/2288/87594]  
专题公共卫生-已发表论文
推荐引用方式
GB/T 7714
Sun, Xiaolian,Huang, Xinglu,Guo, Jinxia,et al. Self-illuminating Cu-64-Doped CdSe/ZnS Nanocrystals for in Vivo Tumor Imaging[J]. http://dx.doi.org/10.1021/ja410438n,2014.
APA Sun, Xiaolian.,Huang, Xinglu.,Guo, Jinxia.,Zhu, Wenlei.,Ding, Yong.,...&陈小元.(2014).Self-illuminating Cu-64-Doped CdSe/ZnS Nanocrystals for in Vivo Tumor Imaging.http://dx.doi.org/10.1021/ja410438n.
MLA Sun, Xiaolian,et al."Self-illuminating Cu-64-Doped CdSe/ZnS Nanocrystals for in Vivo Tumor Imaging".http://dx.doi.org/10.1021/ja410438n (2014).
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