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

Publication ,  Journal Article
Atta, S; Thorsen, TL; Zhao, Y; Sanchez, S; Hill, HJ; Berner, VK; Gates-Hollingsworth, MA; Devadhasan, JP; Summers, AJ; Gu, J; Bag, R ...
Published in: ACS applied materials & interfaces
March 2026

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.

Duke Scholars

Published In

ACS applied materials & interfaces

DOI

EISSN

1944-8252

ISSN

1944-8244

Publication Date

March 2026

Volume

18

Issue

10

Start / End Page

15686 / 15698

Related Subject Headings

  • Nanoscience & Nanotechnology
  • Metal Nanoparticles
  • Limit of Detection
  • Immunoassay
  • Humans
  • Gold
  • Colorimetry
  • 51 Physical sciences
  • 40 Engineering
  • 34 Chemical sciences
 

Citation

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Atta, S., Thorsen, T. L., Zhao, Y., Sanchez, S., Hill, H. J., Berner, V. K., … Vo-Dinh, T. (2026). Magneto-Plasmonics-Enhanced Colorimetric Lateral Flow Immunoassay Using Magnetic-Gold Nanostars. ACS Applied Materials & Interfaces, 18(10), 15686–15698. https://doi.org/10.1021/acsami.5c21544
Atta, Supriya, Taylor L. Thorsen, Yuanhao Zhao, Sebastian Sanchez, Haydon J. Hill, Vanessa K. Berner, Marcellene A. Gates-Hollingsworth, et al. “Magneto-Plasmonics-Enhanced Colorimetric Lateral Flow Immunoassay Using Magnetic-Gold Nanostars.ACS Applied Materials & Interfaces 18, no. 10 (March 2026): 15686–98. https://doi.org/10.1021/acsami.5c21544.
Atta S, Thorsen TL, Zhao Y, Sanchez S, Hill HJ, Berner VK, et al. Magneto-Plasmonics-Enhanced Colorimetric Lateral Flow Immunoassay Using Magnetic-Gold Nanostars. ACS applied materials & interfaces. 2026 Mar;18(10):15686–98.
Atta, Supriya, et al. “Magneto-Plasmonics-Enhanced Colorimetric Lateral Flow Immunoassay Using Magnetic-Gold Nanostars.ACS Applied Materials & Interfaces, vol. 18, no. 10, Mar. 2026, pp. 15686–98. Epmc, doi:10.1021/acsami.5c21544.
Atta S, Thorsen TL, Zhao Y, Sanchez S, Hill HJ, Berner VK, Gates-Hollingsworth MA, Devadhasan JP, Summers AJ, Gu J, Bag R, Haravifard S, Montgomery DC, AuCoin DP, Zenhausern F, Vo-Dinh T. Magneto-Plasmonics-Enhanced Colorimetric Lateral Flow Immunoassay Using Magnetic-Gold Nanostars. ACS applied materials & interfaces. 2026 Mar;18(10):15686–15698.
Journal cover image

Published In

ACS applied materials & interfaces

DOI

EISSN

1944-8252

ISSN

1944-8244

Publication Date

March 2026

Volume

18

Issue

10

Start / End Page

15686 / 15698

Related Subject Headings

  • Nanoscience & Nanotechnology
  • Metal Nanoparticles
  • Limit of Detection
  • Immunoassay
  • Humans
  • Gold
  • Colorimetry
  • 51 Physical sciences
  • 40 Engineering
  • 34 Chemical sciences