Nanoscale graphene oxide-induced metallic nanoparticle clustering for surface-enhanced Raman scattering-based IgG detection
- Authors
- Ali, Ahmed; Hwang, Eun Young; Choo, Jaebum; Lim, Dong Woo
- Issue Date
- Feb-2018
- Publisher
- ELSEVIER SCIENCE SA
- Keywords
- Nanoscale graphene oxide; Metallic nanoparticles; Clusters; Surface enhanced Raman scattering; IgG detection
- Citation
- SENSORS AND ACTUATORS B-CHEMICAL, v.255, pp.183 - 192
- Indexed
- SCIE
SCOPUS
- Journal Title
- SENSORS AND ACTUATORS B-CHEMICAL
- Volume
- 255
- Start Page
- 183
- End Page
- 192
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/6781
- DOI
- 10.1016/j.snb.2017.07.140
- ISSN
- 0925-4005
- Abstract
- Surface-enhanced Raman scattering (SERS) has been of great interest to advance sensitive optical biosensors. Clustered metallic nanoparticles as SERS nanoprobes are important to detect specific biomolecules with ultra-sensitivity. We report herein that the cluster formation of gold nanoparticles (GNPs) was induced by nanoscale graphene oxides (NGOs) with 120 nm to develop a new class of SERS nanotags for biosensing. The GNPs with 4-mercaptopyridine as a Raman reporter were modified with 1-pyrenemethylamine to introduce hydrophobic moieties on the surfaces and were complexed with NGOs via noncovalent interactions of pi-pi stacking and van der Waals interactions, resulting in the formation of NGO-GNP clusters (NGO-GNPCs). The NGO-GNPCs increased the SERS signal 3- to 4-fold higher than that of the individual GNPs due to enhancement of the electromagnetic field at the interstices of the GNPs. As a proof of concept, the NGO-GNPCs as SERS nanoprobes and magnetic beads (MBs) were developed to detect immunoglobulin G (IgG). Sandwich-type immunocomplexes of the NGO-GNPCs, IgG, and MBs were formed, representing a linear correlation between Raman intensity and IgG concentration, and a limit of detection of 0.6 pM. It suggests that the NGO-GNPCs as SERS nanoprobes could open a new avenue for highly sensitive SERS-based biosensing. (C) 2017 Elsevier B.V. All rights reserved.
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