Simultaneous Surface-Enhanced Raman Spectroscopy Detection of Multiplexed MicroRNA Biomarkers
Autor: | Wen Zhou, Bin-Cheng Yin, Ya-Fei Tian, Bang-Ce Ye |
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Rok vydání: | 2017 |
Předmět: |
Surface Properties
Metal Nanoparticles Nanotechnology 02 engineering and technology Spectrum Analysis Raman 010402 general chemistry 01 natural sciences Multiplexing Analytical Chemistry Microsphere symbols.namesake microRNA Biomarkers Tumor Humans Particle Size Detection limit Chemistry Surface-enhanced Raman spectroscopy 021001 nanoscience & nanotechnology 0104 chemical sciences MicroRNAs Colloidal gold symbols Cancer biomarkers Gold 0210 nano-technology Raman spectroscopy |
Zdroj: | Analytical Chemistry. 89:6120-6128 |
ISSN: | 1520-6882 0003-2700 |
DOI: | 10.1021/acs.analchem.7b00902 |
Popis: | Simultaneous detection of cancer biomarkers holds great promise for the early diagnosis of cancer. In the present work, an ultrasensitive and reliable surface-enhanced Raman scattering (SERS) sensor has been developed for simultaneous detection of multiple liver cancer related microRNA (miRNA) biomarkers. We first proposed a novel strategy for the synthesis of nanogap-based SERS nanotags by modifying gold nanoparticles (AuNPs) with thiolated DNA and nonfluorescent small encoding molecules. We also explored a simple approach to a green synthesis of hollow silver microspheres (Ag-HMSs) with bacteria as templates. On the basis of the sandwich hybridization assay, probe DNA-conjugated SERS nanotags used as SERS nanoprobes and capture DNA-conjugated Ag-HMSs used as capture substrates were developed for the detection of target miRNA with a detection limit of 10 fM. Multiplexing capability for simultaneous detection of the three liver cancer related miRNAs with the high sensitivity and specificity was demonstrated using the proposed SERS sensor. Furthermore, the practicability of the SERS sensor was supported by the successful determination of target miRNA in cancer cells. The experimental results indicated that the proposed strategy holds significant potential for multiplex detection of cancer biomarkers and offers the opportunity for future applications in clinical diagnosis. |
Databáze: | OpenAIRE |
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