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金纳米星的可调谐涂层:定制稳健的 SERS 标签用于细胞成像。

Tunable coating of gold nanostars: tailoring robust SERS labels for cell imaging.

机构信息

Dipartimento di Chimica, Sezione di Chimica Generale, Università di Pavia, Viale Taramelli 12, I-27100 Pavia, Italy.

出版信息

Nanotechnology. 2016 Jul 1;27(26):265302. doi: 10.1088/0957-4484/27/26/265302. Epub 2016 May 20.

DOI:10.1088/0957-4484/27/26/265302
PMID:27199302
Abstract

Surface modification of noble metal nanoparticles with mixed molecular monolayers is one of the most powerful tools in nanotechnology, and is used to impart and tune new complex surface properties. In imaging techniques based on surface enhanced Raman spectroscopy (SERS), precise and controllable surface modifications are needed to carefully design reproducible, robust and adjustable SERS nanoprobes. We report here the attainment of SERS labels based on gold nanostars (GNSs) coated with a mixed monolayer composed of a poly ethylene glycol (PEG) thiol (neutral or negatively charged) that ensure stability in biological environments, and of a signalling unit 7-Mercapto-4-methylcoumarin as a Raman reporter molecule. The composition of the coating mixture is precisely controlled using an original method, allowing the modulation of the SERS intensity and ensuring overall nanoprobe stability. The further addition of a positively charged layer of poly (allylamine hydrocloride) on the surface of negatively charged SERS labels does not change the SERS response, but it promotes the penetration of GNSs in SH-SY5Y neuroblastoma cells. As an example of an application of such an approach, we demonstrate here the internalization of these new labels by means of visualization of cell morphology obtained with SERS mapping.

摘要

采用混合分子单层对贵金属纳米粒子进行表面修饰是纳米技术中最有力的工具之一,用于赋予和调整新的复杂表面性质。在基于表面增强拉曼光谱(SERS)的成像技术中,需要精确和可控的表面修饰来精心设计可重复、稳健和可调的 SERS 纳米探针。我们在此报告了基于金纳米星(GNS)的 SERS 标签的获得,这些 GNS 表面涂有由聚乙二醇(PEG)硫醇(中性或带负电荷)和作为拉曼报告分子的 7-巯基-4-甲基香豆素组成的混合单层。使用原始方法精确控制涂层混合物的组成,允许调节 SERS 强度并确保整体纳米探针稳定性。在带负电荷的 SERS 标签表面进一步添加带正电荷的聚(烯丙胺盐酸盐)层不会改变 SERS 响应,但它促进了 GNS 进入 SH-SY5Y 神经母细胞瘤细胞的渗透。作为这种方法应用的一个例子,我们通过使用 SERS 映射获得的细胞形态可视化来证明这些新标签的内化。

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