SERS immunoassay based on the capture and concentration of antigen-assembled gold nanoparticles

TALANTA

卷:146

Article

Lopez, Arielle¹  Lovato, Francis¹  Oh, Soon Hwan²  Lai, Yen H.¹  Filbrun, Seth¹  Driskell, Elizabeth A.²  Driskell, Jeremy D.¹ 

[1] Illinois State Univ, Dept Chem, Normal, IL 61790 USA

[2] Univ Illinois, Coll Vet Med, Dept Pathobiol, Urbana, IL 61802 USA

关键词: Immunoassay;    Surface-enhanced Raman spectroscopy;    Dynamic light scattering;    Gold nanoparticles;   

DOI  :  10.1016/j.talanta.2015.08.065

来源: Elsevier

【 摘 要 】

A simple, rapid, and sensitive immunoassay has been developed based on antigen-mediated aggregation of gold nanoparticles (AuNP) and surface-enhanced Raman spectroscopy (SERS). Central to this platform is the extrinsic Raman label (ERL), which consists of a gold nanoparticle modified with a mixed monolayer of a Raman active molecule and an antibody. ERLs are mixed with sample, and antigen induces the aggregation of the ERLs. A membrane filter is then used to isolate and concentrate the ERL aggregates for SERS analysis. Preliminary work to establish proof-of-principle of the platform technology utilized mouse IgG as a model antigen. The effects of membrane pore diameter and AuNP size on the analytical performance of the assay were systematically investigated, and it was determined that a pore diameter of 200 nm and AuNP diameter of 80 nm provide maximum sensitivity while minimizing signal from blank samples. Optimization of the assay provided a detection limit of 1.9 ng/mL, 20-fold better than the detection limit achieved by an ELISA employing the same antibody-antigen system. Furthermore, this assay required only 60 min compared to 24 h for the ELISA. To validate this assay, mouse serum was directly analyzed to accurately quantify IgG. Collectively, these results demonstrate the potential advantages of this technology over current diagnostic tests for protein biomarkers with respect to time, simplicity, and detection limits. Thus, this approach provides a framework for prospective development of new and more powerful tools that can be designed for point-of-care diagnostic or point-of-need detection. (C) 2015 Elsevier B.V. All rights reserved.

【 授权许可】

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