Dual-Mode SERS-Fluorescence Immunoassay Using Graphene Quantum Dot Labeling on One-Dimensional Aligned Magnetoplasmonic Nanoparticles.

Autor: Zou F; †High Magnetic Field Laboratory, Chinese Academy of Sciences, Hefei, Anhui 230031, P. R. China.; ‡Department of Nano Fusion Technology and BK21 Plus Nano Convergence Technology Division, Pusan National University, Busan 609-735, Republic of Korea., Zhou H; §Department of Cogno-Mechatronics Engineering, Pusan National University, Busan 609-735, Republic of Korea.; ∥Key Laboratory of Materials Physics, Centre for Environmental and Energy Nanomaterials, Anhui Key Laboratory of Nanomaterials and Nanotechnology, Institute of Solid State Physics, Chinese Academy of Sciences, Hefei 230031, P. R. China., Tan TV; §Department of Cogno-Mechatronics Engineering, Pusan National University, Busan 609-735, Republic of Korea., Kim J; §Department of Cogno-Mechatronics Engineering, Pusan National University, Busan 609-735, Republic of Korea., Koh K; ⊥Office of General Education, Pusan National University, Busan 609-735, Republic of Korea., Lee J; §Department of Cogno-Mechatronics Engineering, Pusan National University, Busan 609-735, Republic of Korea.
Jazyk: angličtina
Zdroj: ACS applied materials & interfaces [ACS Appl Mater Interfaces] 2015 Jun 10; Vol. 7 (22), pp. 12168-75. Date of Electronic Publication: 2015 Jun 01.
DOI: 10.1021/acsami.5b02523
Abstrakt: A novel dual-mode immunoassay based on surface-enhanced Raman scattering (SERS) and fluorescence was designed using graphene quantum dot (GQD) labels to detect a tuberculosis (TB) antigen, CFP-10, via a newly developed sensing platform of linearly aligned magnetoplasmonic (MagPlas) nanoparticles (NPs). The GQDs were excellent bilabeling materials for simultaneous Raman scattering and photoluminescence (PL). The one-dimensional (1D) alignment of MagPlas NPs simplified the immunoassay process and enabled fast, enhanced signal transduction. With a sandwich-type immunoassay using dual-mode nanoprobes, both SERS signals and fluorescence images were recognized in a highly sensitive and selective manner with a detection limit of 0.0511 pg mL(-1).
Databáze: MEDLINE
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