↓ Skip to main content

Enhanced Plasmonic Biosensors of Hybrid Gold Nanoparticle-Graphene Oxide-Based Label-Free Immunoassay

Overview of attention for article published in Discover Nano, May 2018
Altmetric Badge

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
66 Mendeley
Title
Enhanced Plasmonic Biosensors of Hybrid Gold Nanoparticle-Graphene Oxide-Based Label-Free Immunoassay
Published in
Discover Nano, May 2018
DOI 10.1186/s11671-018-2565-7
Pubmed ID
Authors

Nan-Fu Chiu, Chi-Chu Chen, Cheng-Du Yang, Yu-Sheng Kao, Wei-Ren Wu

Abstract

In this study, we propose a modified gold nanoparticle-graphene oxide sheet (AuNP-GO) nanocomposite to detect two different interactions between proteins and hybrid nanocomposites for use in biomedical applications. GO sheets have high bioaffinity, which facilitates the attachment of biomolecules to carboxyl groups and has led to its use in the development of sensing mechanisms. When GO sheets are decorated with AuNPs, they introduce localized surface plasmon resonance (LSPR) in the resonance energy transfer of spectral changes. Our results suggest a promising future for AuNP-GO-based label-free immunoassays to detect disease biomarkers and rapidly diagnose infectious diseases. The results showed the detection of antiBSA in 10 ng/ml of hCG non-specific interfering protein with dynamic responses ranging from 1.45 nM to 145 fM, and a LOD of 145 fM. Considering the wide range of potential applications of GO sheets as a host material for a variety of nanoparticles, the approach developed here may be beneficial for the future integration of nanoparticles with GO nanosheets for blood sensing. The excellent anti-interference characteristics allow for the use of the biosensor in clinical analysis and point-of-care testing (POCT) diagnostics of rapid immunoassay products, and it may also be a potential tool for the measurement of biomarkers in human serum.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 21%
Student > Master 11 17%
Student > Doctoral Student 4 6%
Student > Bachelor 4 6%
Researcher 3 5%
Other 6 9%
Unknown 24 36%
Readers by discipline Count As %
Engineering 15 23%
Chemistry 5 8%
Materials Science 4 6%
Biochemistry, Genetics and Molecular Biology 3 5%
Physics and Astronomy 3 5%
Other 7 11%
Unknown 29 44%