Self-illuminating 64Cu-Doped CdSe/ZnS nanocrystals for in vivo tumor imaging | |
Sun, Xiaolian ; Huang, Xinglu ; Guo, Jinxi ; 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
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2014 | |
关键词 | Copper Energy transfer Nanocrystals |
英文摘要 | 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 64Cu into CdSe/ZnS core/shell QDs via a cation-exchange reaction. The 64Cu-doped CdSe/ZnS QDs exhibit efficient Cerenkov resonance energy transfer (CRET). The signal of 64Cu can accurately reflect the biodistribution of the QDs during circulation with no dissociation of 64Cu 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 (12.7% 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. ? 2014 American Chemical Society. |
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/2288/87604] ![]() |
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, Jinxi,et al. Self-illuminating 64Cu-Doped CdSe/ZnS nanocrystals for in vivo tumor imaging[J]. http://dx.doi.org/10.1021/ja410438n,2014. |
APA | Sun, Xiaolian.,Huang, Xinglu.,Guo, Jinxi.,Zhu, Wenlei.,Ding, Yong.,...&陈小元.(2014).Self-illuminating 64Cu-Doped CdSe/ZnS nanocrystals for in vivo tumor imaging.http://dx.doi.org/10.1021/ja410438n. |
MLA | Sun, Xiaolian,et al."Self-illuminating 64Cu-Doped CdSe/ZnS nanocrystals for in vivo tumor imaging".http://dx.doi.org/10.1021/ja410438n (2014). |
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