Your browser doesn't support javascript.
loading
Surface-enhanced Raman scattering-based sensing in vitro: facile and label-free detection of apoptotic cells at the single-cell level.
Jiang, Xiangxu; Jiang, Ziyun; Xu, Tingting; Su, Shao; Zhong, Yiling; Peng, Fei; Su, Yuanyuan; He, Yao.
Afiliação
  • Jiang X; Institute of Functional Nano & Soft Materials (FUNSOM) and Jiangsu Key Laboratory for Carbon-based Functional Materials & Devices, Soochow University, Suzhou 215123, China.
Anal Chem ; 85(5): 2809-16, 2013 Mar 05.
Article em En | MEDLINE | ID: mdl-23373817
ABSTRACT
Surface-enhanced Raman scattering (SERS) is well recognized as a powerful analytical tool, enabling ultrahigh sensitive detection of analytes at low concentrations, even down to single-molecule level. Of particular note, in comparison to sufficient investigations on SERS-based detection of biomolecules (e.g., DNA and protein), there has been relatively scanty information regarding in vitro and in vivo detection. In this Article, we demonstrate a kind of SERS-active substrate, i.e., AgNPs-decorated silicon wafer (AgNPs@Si), as a high-performance in vitro sensing platform for single-cell detection of apoptotic cells. The AgNPs@Si yields highly reproducible SERS signals with an enhancement factor of ∼10(7). Remarkably, cellular experiments show that facile, noninvasive, label-free, and sensitive detection of apoptotic cells is readily realized using the high-performance SERS-active platform. Three kinds of apoptotic cells treated with apoptosis inducer are facilely and sensitively detected at the single-cell level, suggesting the exciting potential of AgNPs@Si for SERS-based in vitro analysis and detection.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise Espectral Raman / Separação Celular / Apoptose / Imagem Molecular / Análise de Célula Única Idioma: En Ano de publicação: 2013 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise Espectral Raman / Separação Celular / Apoptose / Imagem Molecular / Análise de Célula Única Idioma: En Ano de publicação: 2013 Tipo de documento: Article