Renal Clearable Ag Nanodots for in Vivo Computer Tomography Imaging and Photothermal Therapy
文献类型:期刊论文
| 作者 | Cui, YY; Yang, J ; Zhou, QF; Gao XY(高学云) ; Liang, P; Wang, YL ; Gao, XY ; Wang, YT; Wang YL(王亚玲)
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| 刊名 | ACS APPLIED MATERIALS & INTERFACES
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| 出版日期 | 2017 |
| 卷号 | 9期号:7页码:5900-5906 |
| 关键词 | silver nanodots protein X-ray CT imaging photothermal therapy renal clearable |
| ISSN号 | 1944-8244 |
| DOI | 10.1021/acsami.6b16133 |
| 文献子类 | Article |
| 英文摘要 | Albumin-stabilized Ag nanodots (ANDs) are prepared by a one-step biomineralization method. The highly crystallized nanodots have ultrasmall sizes (approximately 5.8 nm) and robust X-ray attenuation (5.7313 HU per mM Ag). The unlabeled ANDs are directly excreted from the body via the urine after in-vivo X-ray computer tomography (CT) imaging application. ANDs could be used as CT imaging agents and effective photothermal therapy agents. Tumor growth inhibition reaches 90.2% after photothermal treatment with ANDs. ANDs are promising tools for in vivo CT imaging and clearable near-infrared-triggered theranostic agents. |
| WOS关键词 | TRIGGERED DRUG-DELIVERY ; BOVINE SERUM-ALBUMIN ; SILVER NANOPARTICLES ; CANCER ; FACILE ; BIOMINERALIZATION ; SENSITIVITY ; NANOSHEETS ; CONTRAST ; CLUSTERS |
| WOS研究方向 | Science & Technology - Other Topics ; Materials Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000394829800027 |
| 源URL | [http://ir.ihep.ac.cn/handle/311005/285127] ![]() |
| 专题 | 高能物理研究所_多学科研究中心 |
| 作者单位 | 中国科学院高能物理研究所 |
| 推荐引用方式 GB/T 7714 | Cui, YY,Yang, J,Zhou, QF,et al. Renal Clearable Ag Nanodots for in Vivo Computer Tomography Imaging and Photothermal Therapy[J]. ACS APPLIED MATERIALS & INTERFACES,2017,9(7):5900-5906. |
| APA | Cui, YY.,Yang, J.,Zhou, QF.,高学云.,Liang, P.,...&王亚玲.(2017).Renal Clearable Ag Nanodots for in Vivo Computer Tomography Imaging and Photothermal Therapy.ACS APPLIED MATERIALS & INTERFACES,9(7),5900-5906. |
| MLA | Cui, YY,et al."Renal Clearable Ag Nanodots for in Vivo Computer Tomography Imaging and Photothermal Therapy".ACS APPLIED MATERIALS & INTERFACES 9.7(2017):5900-5906. |
入库方式: OAI收割
来源:高能物理研究所
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