Renal clearing carbon dots-based near-infrared fluorescent super-small nanoprobe for renal imaging
文献类型:期刊论文
作者 | Gao, Pengli1,2,3,4,5; Hui, Hui5; Guo, Chanjuan5,6; Liu, Yu1,2,3,4,5; Su, Ya5; Huang, Xiazi5; Guo, Kunxiong5,6; Shang, Wenting5; Jiang, Jingying1,4; Tian, Jie1,4,5 |
刊名 | CARBON |
出版日期 | 2023-01-05 |
卷号 | 201页码:805-814 |
ISSN号 | 0008-6223 |
关键词 | Near-infrared fluorescent carbon dots Super-small size Renal clearance Renal imaging |
DOI | 10.1016/j.carbon.2022.09.052 |
通讯作者 | Shang, Wenting(wenting.shang@ia.ac.cn) ; Jiang, Jingying(jingyingjiang@buaa.edu.cn) ; Tian, Jie(jie.tian@ia.ac.cn) |
英文摘要 | Real-time renal imaging is indispensable for monitoring kidney-related disease processes and evaluating the nephrotoxicity of nanoprobes. Owing to their small size, tunable photoluminescence properties, and low biotoxicity, carbon dots (CDs) are widely employed as nanoprobes for imaging-guided disease diagnosis. However, the preparation of near-infrared CDs is a stupendous challenging. Here, CDs with near-infrared fluorescence (NIR-CDs) were prepared by one-pot pyrolysis and were comprehensively evaluated for real-time renal imaging. The NIR-CDs possessed super-small size (1.8 +/- 0.2 nm) and high quantum yield (14.3% in aqueous solution) at 696 nm. NIR-CDs exhibited high-efficiency renal clearance at 24 h post-treatment (97.47-99.27% ID) via glomerular filtration. The irreversible clearance of NIR-CDs enables effective real-time monitoring of kidney function in the normal and acute kidney injury (AKI) mouse models. Consequently, NIR-CDs can be utilized for imaging analyses of impaired kidney function, pioneering a serviceable guideline for neoapplications of NIR-CDs. |
WOS关键词 | ACUTE KIDNEY INJURY ; GLOMERULAR-FILTRATION ; DYSFUNCTION |
资助项目 | National Key Research and Development Program of China[2017YFA0700401] ; National Key Research and Development Program of China[2017YFA0205200] ; National Natural Science Foundation of China[81971662] ; National Natural Science Foundation of China[81971680] ; Chinese Academy of Sciences[20200102] ; CAS Youth Innovation Promotion Association[2018167] ; CAS Key Technology Talent Program ; Natural Science Foundation of Beijing City[7202105] ; Project of High-Level Talents Team Introduction in Zhuhai City (Zhuhai)[HLHPTP201703] |
WOS研究方向 | Chemistry ; Materials Science |
语种 | 英语 |
出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
WOS记录号 | WOS:000984385500001 |
资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences ; CAS Youth Innovation Promotion Association ; CAS Key Technology Talent Program ; Natural Science Foundation of Beijing City ; Project of High-Level Talents Team Introduction in Zhuhai City (Zhuhai) |
源URL | [http://ir.ia.ac.cn/handle/173211/53272] |
专题 | 自动化研究所_中国科学院分子影像重点实验室 |
通讯作者 | Shang, Wenting; Jiang, Jingying; Tian, Jie |
作者单位 | 1.Beihang Univ, Sch Engn Med, 37 Xueyuan Rd, Beijing 100191, Peoples R China 2.Beihang Univ, Sch Biol Sci & Med Engn, 37 Xueyuan Rd, Beijing 100191, Peoples R China 3.Beihang Univ, Sch Engn Med, 37 Xueyuan Rd, Beijing 100191, Peoples R China 4.Beihang Univ, Minist Ind & Informat Technol Peoples Republ Chin, Key Lab Big Data Based Precis Med, 37 Xueyuan Rd, Beijing 100191, Peoples R China 5.Chinese Acad Sci, Beijing Key Lab Mol Imaging, Inst Automat, CAS Key Lab Mol Imaging,State Key Lab Management, Beijing 100190, Peoples R China 6.Southern Med Univ, Zhujiang Hosp, Dept Hepatobiliary Surg, Guangzhou, Peoples R China |
推荐引用方式 GB/T 7714 | Gao, Pengli,Hui, Hui,Guo, Chanjuan,et al. Renal clearing carbon dots-based near-infrared fluorescent super-small nanoprobe for renal imaging[J]. CARBON,2023,201:805-814. |
APA | Gao, Pengli.,Hui, Hui.,Guo, Chanjuan.,Liu, Yu.,Su, Ya.,...&Tian, Jie.(2023).Renal clearing carbon dots-based near-infrared fluorescent super-small nanoprobe for renal imaging.CARBON,201,805-814. |
MLA | Gao, Pengli,et al."Renal clearing carbon dots-based near-infrared fluorescent super-small nanoprobe for renal imaging".CARBON 201(2023):805-814. |
入库方式: OAI收割
来源:自动化研究所
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