journal article·2026-03-18

Magneto-Plasmonics-Enhanced Colorimetric Lateral Flow Immunoassay Using Magnetic-Gold Nanostars

Supriya Atta, Taylor L. Thorsen, Yuanhao Zhao, Sebastian Sanchez, Haydon J. Hill, Vanessa K. Berner, Marcellene A. Gates-Hollingsworth, Jasmine Pramila Devadhasan, Alexander Jarrett Summers, Jian Gu, Rabindranath Bag, Sara Haravifard, Douglas C. Montgomery, David P. AuCoin, Frederic Zenhausern, Tuan Vo-Dinh

ACS Applied Materials & Interfaces· Volume 18· Issue 10
Publisher page

Abstract

Colorimetric lateral flow immunoassays (LFIA) have revolutionized point-of-care testing (POCT) methods by providing simple, rapid, accessible, and instrumentation-free detection of infectious diseases. However, conventional LFIAs relying on gold nanospheres (GNPs) can suffer from limited sensitivity due to weak colorimetric signal intensity at the test line, restricting their diagnostic potential. To overcome this limitation, we developed a magneto-plasmonics enhanced colorimetric LFIA (mpLFIA)─a breakthrough platform that integrates a novel hybrid nanoparticle system─magnetic gold nanostars (mpGNS). By leveraging dual enhancement mechanisms─magnetic preconcentration and plasmonic amplification through the gold nanostar shell coating of the magnetic core─the mpLFIA achieves unprecedented signal intensity and detection performance. Among the tested mpGNS variants, mpGNS-3─distinguished by its longest spikes and highest branch density─emerged as the most effective colorimetric signal amplifier when evaluated using Rift Valley fever virus (RVFV) nucleoprotein as a model analyte. Our mpLFIA platform achieves an outstanding limit of detection (LOD) of 2.24 pg/mL for RVFV nucleoprotein in 1X PBS buffer, demonstrating a 1000-fold enhancement over conventional GNP-based assays. Our prototype mpLFIA platform, utilizing highly spiked mpGNS-3, exhibits great potential as a powerful bioanalytical tool, combining high sensitivity with practical portability for point-of-care applications.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Biosensors and Analytical Detection · Viral Infections and Vectors · Viral Infections and Outbreaks Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Fitzpatrick Institute for Photonics

Duke University

Department of Biomedical Engineering

Department of Chemistry

Department of Microbiology and Immunology, Reno School of Medicine

University of Nevada

Center for Applied Nano Bioscience and Medicine, College of Medicine

University of Arizona

Department of Basic Medical Sciences, College of Medicine, The University of Arizona, 475 N 5th St., Phoenix, Arizona 85004, United States

Department of Physics

School of Computing and Augmented Intelligence

Ira A. Fulton Schools of Engineering Arizona State University

Funding

Bill and Melinda Gates Foundation · Defense Threat Reduction Agency

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