Surface-Enhanced Raman Scattering-Based Lateral Flow Assay Strips Using Highly Symmetric Gold Nanostars

The applications for lateral flow assay (LFA) strips in point-of-care testing have been significantly constrained by their insufficient sensitivity and reproducibility. To address these inherent issues, we developed surface-enhanced Raman scattering (SERS)-based LFA strips, in which highly symmetric Au nanostars (Sym-AuNS) were employed as the sensing element. Due to the uniform tip-sharp nanostructure and a certain number of branches on the surface of Sym-AuNS, it generates a uniform hotspot distribution, thus producing a strong and stable SERS signal. As a proof of concept, human IgG was chosen as the target to evaluate the performance of the proposed SERS-LFA strips. In human serum spiked samples, the limit of detection for human IgG detection was achieved as low as 38 ng/mL, which exhibited a 2-fold, 3-fold, and 13-fold sensitivity improvement compared with the SERS-LFA strips using conventional gold nanostars (AuNS), enzyme-linked immunosorbent assays (ELISA), and the conventional LFA strips, respectively. Furthermore, the SERS-LFA strips demonstrated high assay reproducibility, with a relative standard deviation of 7.75% for five repeated tests, much lower than those of SERS-LFA strips using AuNS (24.6%), ELISA (12.42%), and conventional LFA strips (31.32%). These results demonstrate that the construction of sensitive and reproducible SERS-LFA strips was obtained, and this platform using Sym-AuNS as SERS nanoparticles paves the way for a promising approach in immunoassay technology.

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Publication Details

Journal
ACS Applied Nano Materials
Published
2024-12-04
DOI
https://doi.org/10.1021/acsanm.4c05151
Citations
11
Primary Topic
Gold and Silver Nanoparticles Synthesis and Applications
Type
article
Field-Weighted Citation Impact
1.30
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article

Surface-Enhanced Raman Scattering-Based Lateral Flow Assay Strips Using Highly Symmetric Gold Nanostars

Qian Yang, Lingxin Chen, Jaebum Choo, Liyan Bi et al.
11 citations
ACS Applied Nano Materials
Gold and Silver Nanoparticles Synthesis and Applications
1.30
article

Surface-Enhanced Raman Scattering-Based Lateral Flow Assay Strips Using Highly Symmetric Gold Nanostars

Qian Yang, Lingxin Chen, Jaebum Choo, Liyan Bi, Maryam Arabi, Yixuan Wu, Zhiyang Zhang, Jiadong Chen, Abbas Ostovan, Na Zhou
article en
11 citations

Abstract

The applications for lateral flow assay (LFA) strips in point-of-care testing have been significantly constrained by their insufficient sensitivity and reproducibility. To address these inherent issues, we developed surface-enhanced Raman scattering (SERS)-based LFA strips, in which highly symmetric Au nanostars (Sym-AuNS) were employed as the sensing element. Due to the uniform tip-sharp nanostructure and a certain number of branches on the surface of Sym-AuNS, it generates a uniform hotspot distribution, thus producing a strong and stable SERS signal. As a proof of concept, human IgG was chosen as the target to evaluate the performance of the proposed SERS-LFA strips. In human serum spiked samples, the limit of detection for human IgG detection was achieved as low as 38 ng/mL, which exhibited a 2-fold, 3-fold, and 13-fold sensitivity improvement compared with the SERS-LFA strips using conventional gold nanostars (AuNS), enzyme-linked immunosorbent assays (ELISA), and the conventional LFA strips, respectively. Furthermore, the SERS-LFA strips demonstrated high assay reproducibility, with a relative standard deviation of 7.75% for five repeated tests, much lower than those of SERS-LFA strips using AuNS (24.6%), ELISA (12.42%), and conventional LFA strips (31.32%). These results demonstrate that the construction of sensitive and reproducible SERS-LFA strips was obtained, and this platform using Sym-AuNS as SERS nanoparticles paves the way for a promising approach in immunoassay technology.

ACS Applied Nano MaterialsVol. 7(23)
Binzhou Medical University (CN), Shandong University of Aeronautics (CN), Chinese Academy of Sciences (CN), Institute of Oceanology (CN), Yantai Institute of Coastal Zone Research (CN), Fujian Agriculture and Forestry University (CN), Chung-Ang University (KR)
Openalex Percentile: Top 21%
Gold and Silver Nanoparticles Synthesis and Applications
1.30
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