Synergistically enhanced upconversion luminescence in Li+-doped core–shell-structured ultrasmall nanoprobes for dual-mode deep tissue fluorescence/CT imaging. Issue 14 (24th March 2017)

• Record Type: Journal Article
• Authors: Hu, Min; Ma, Dandan; Cheng, Yuzhong; Liu, Chengcheng; Zhang, Zhipeng; Cai, Yanjun; Wu, Si; Wang, Ruifeng
• Is Part Of: Journal of materials chemistry. Volume 5:Issue 14(2017)
• Page Start: 2662
• Page End: 2670
• Publication Date: 2017-03-24
• Subjects: Materials -- Periodicals; Chemistry, Analytic -- Periodicals; Biomedical materials -- Research -- Periodicals; 543.0284
• DOI: 10.1039/c6tb02976k
• Languages: English
• ISSNs: 2050-750X

Abstract

Abstract : The development of upconversion luminescence that allows for multimodal imaging in terms of resolution and penetration depth using a single system is attracting increasing interest for use in clinical molecular imaging and diagnostics. Abstract : The development of upconversion luminescence that allows for multimodal imaging in terms of resolution and penetration depth using a single system is attracting increasing interest for use in clinical molecular imaging and diagnostics. In this study, a simple method for inducing high-intensity upconversion luminescence by doping Li + ions in a core–shell-structured NaLuF4 :Yb, Tm system was developed. The synergistic effects of Li + doping and the shell layer enhanced the luminescence intensity by approximately 210 times. In vitro and in vivo experiments showed that the high-intensity luminescence of nanoparticles exhibited a depth penetration ability for biological tissue. Owing to the heavy atom effect of the Lu 3+ ions, the nanoparticles, which had a size of 23 nm, showed good CT imaging performance when compared with a clinical contrast agent, in addition to allowing for deep tissue imaging. The excellent optical and CT imaging properties of the Li + -doped high-luminescence core–shell upconversion nanoparticles suggest that they are highly suited for use in both deep tissue fluorescence imaging and CT imaging for multimodal diagnosis.