SERS biosensors for ultrasensitive detection of multiple biomarkers expressed in cancer cells
SERS biosensors for ultrasensitive detection of multiple biomarkers expressed in cancer cells
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DOI：
10.1016/j.bios.2020.112326
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发表时间：
2020-09-15
影响因子：
12.6
通讯作者：
Choo, Jaebum
中科院分区：
文献类型：
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作者：
Choi, Namhyun;Dang, Hajun;Choo, Jaebum
多功能表面增强拉曼散射(SERS)纳米标签的设计和制备是其应用于细胞和组织生物成像的关键问题。本研究开发了高灵敏度、可重复性和长期稳定的SERS纳米标记，用于鉴定乳腺癌细胞上表达的多个蛋白质生物标志物的定位分布。为了增强拉曼报告分子的表面电磁场，合成了银包覆金(Ag-Au)中空纳米球。通过将拉曼报告分子定位在金空心球和银壳之间的纳米隙中，可以获得很强的拉曼信号增强效应。此外，由于表面电磁场通过Au空心纳米球表面的针孔局域化，信号也得到了增强。为了保持金中空银核/壳纳米球的长期稳定性，在其表面包覆了一层聚乙二醇层。采用预混水溶四氮唑盐(WST-1)细胞存活率试验考察了聚乙二醇化银-金中空纳米球的生物相容性。这些SERS纳米标记还实现了高分辨率的多路复用活细胞成像。我们提出的使用新的SERS纳米标记的SERS成像技术为快速和准确地分类不同表型的乳腺癌细胞提供了一个新的平台。
The design and fabrication of multifunctional surface-enhanced Raman scattering (SERS) nanotags are key issues in their application to biological imaging of cells and tissues. In this study, highly sensitive, reproducible and long-term stable SERS nanotags were developed for the identification of localized distribution of multiple protein biomarkers expressed on breast cancer cells. To enhance the surface electromagnetic fields of Raman reporter molecules, Ag-encapsulated Au (Ag-Au) hollow nanospheres were synthesized. Strong Raman signal enhancement effects could be achieved by positioning Raman reporter molecules in nanogaps between the Au hollow nanospheres and silver shell. In addition, the signal was also enhanced due to the localization of surface electromagnetic fields through the pinholes on the surface of Au hollow nanospheres. To maintain the long-term stability of the Au hollow-Ag core/shell nanospheres, their surface was coated with a polyethylene glycol (PEG) layer. The biocompatibility of PEGylated Ag-Au hollow nanospheres was investigated using the premix water soluble tetrazolium salt (WST-1) cell viability test. These SERS nanotags also enabled a high-resolution multiplexed live cell imaging. Our proposed SERS imaging technique using the new SERS nanotags provides a new platform for fast and accurate classification of different phenotypes of breast cancer cells.