Increasing surface-enhanced Raman scattering density using gold-coated magnetic nanoparticles controlled via a magnetic field for sensitive and efficient biomarker detection
Early detection of various diseases is expected using surface-enhanced Raman scattering (SERS). For example, a method of labeling an antibody of a disease-related molecule on metal nanoparticles and detecting the SERS signals of the particles bound to the antigen is a promising approach. However, th...
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Veröffentlicht in: | AIP advances 2019-06, Vol.9 (6), p.065316-065316-6 |
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Sprache: | eng |
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Zusammenfassung: | Early detection of various diseases is expected using surface-enhanced Raman scattering (SERS). For example, a method of labeling an antibody of a disease-related molecule on metal nanoparticles and detecting the SERS signals of the particles bound to the antigen is a promising approach. However, the problems of a slow antigen–antibody reaction and low sensitivity remain unsolved. In this study, we fabricated nanoparticles that can be freely moved using an external magnetic field for rapid antigen–antibody reaction and also nanoengineered the substrate to increase the density of hotspots required for SERS. Gold-coated magnetic nanoparticles (Au-MNPs) with a core–shell structure were prepared by applying multiple coatings of gold onto magnetic iron(II,III) oxide nanoparticles, which were used as the core. A neodymium magnet easily moved and converged the Au-MNPs in the solution within a few seconds. In addition, a silver nanoparticle substrate (Ag-NS) with a hexagonal close-packed structure fixed on a polydimethylsiloxane thin film was prepared, and the stable generation of SERS was confirmed over the entire substrate. Upon aggregation of the Au-MNPs onto Ag-NS using a neodymium magnet, the total SERS strength per unit area drastically increased, suggesting that the combination of Au-MNPs and Ag-NS increased the density of the generated hotspots. In future work, with the labeling of antibodies onto Au-MNPs, we expect the proposed method to be applied in the sensitive measurement of biomarkers associated with diseases. |
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ISSN: | 2158-3226 2158-3226 |
DOI: | 10.1063/1.5102083 |