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Near-infrared induced photothermal lateral-flow immunoassay utilizing plasmonics-active gold nanostars.

Publication ,  Journal Article
Atta, S; Zhao, Y; Sanchez, S; Yampolsky, SV; Berner, VK; Gates-Hollingsworth, MA; Devadhasan, JP; Summers, AJ; Gu, J; Montgomery, DC ...
Published in: Analytica chimica acta
October 2025

The lateral flow immunoassay (LFIA) has become a widely accepted point-of-care diagnostic tool (POCT) due to its simplicity, portability, cost-effectiveness, and rapid biomarker detection capabilities. However, its sensitivity in detecting target analytes has been limited by the visual signals produced by traditional gold nanoparticles. In this study, we introduce a highly sensitive near infrared (NIR) photothermal platform using gold nanostars (GNS) with a tunable plasmon resonance band spanning wavelengths from 700 to 850 nm. The GNS, particularly the GNS-3 probe with its large number of branches, exhibited exceptional light-to-heat conversion efficiency, significantly enhancing photothermal conversion. Using GNS-3 as an efficient photothermal probe, we successfully detected the high-risk pathogen Francisella Tularensis biomarker lipopolysaccharide (FtLPS) as the model analyte, achieving an outstanding limit of detection (LOD) of 3.5 pg/mL for photothermal LFIA. This photothermal LFIA enhances the detection sensitivity nearly 1000-fold compared to traditional colorimetric gold nanosphere-based LFIA. Furthermore, we demonstrate the potential of the photothermal LFIA platform for real-world applicability by detecting ultra-low levels of FtLPS spiked in blood serum samples, achieving an LOD as low as 4 pg/mL. This photothermal LFIA platform shows promise for establishing high-performance photothermal sensing in point-of-care settings and holds great potential for future advancements in rapid, on-site screening of infectious diseases.

Duke Scholars

Published In

Analytica chimica acta

DOI

EISSN

1873-4324

ISSN

0003-2670

Publication Date

October 2025

Volume

1371

Start / End Page

344409

Related Subject Headings

  • Surface Plasmon Resonance
  • Metal Nanoparticles
  • Lipopolysaccharides
  • Limit of Detection
  • Infrared Rays
  • Immunoassay
  • Humans
  • Gold
  • Francisella tularensis
  • Biomarkers
 

Citation

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Atta, S., Zhao, Y., Sanchez, S., Yampolsky, S. V., Berner, V. K., Gates-Hollingsworth, M. A., … Vo-Dinh, T. (2025). Near-infrared induced photothermal lateral-flow immunoassay utilizing plasmonics-active gold nanostars. Analytica Chimica Acta, 1371, 344409. https://doi.org/10.1016/j.aca.2025.344409
Atta, Supriya, Yuanhao Zhao, Sebastian Sanchez, Sabina V. Yampolsky, Vanessa K. Berner, Marcellene A. Gates-Hollingsworth, Jasmine Pramila Devadhasan, et al. “Near-infrared induced photothermal lateral-flow immunoassay utilizing plasmonics-active gold nanostars.Analytica Chimica Acta 1371 (October 2025): 344409. https://doi.org/10.1016/j.aca.2025.344409.
Atta S, Zhao Y, Sanchez S, Yampolsky SV, Berner VK, Gates-Hollingsworth MA, et al. Near-infrared induced photothermal lateral-flow immunoassay utilizing plasmonics-active gold nanostars. Analytica chimica acta. 2025 Oct;1371:344409.
Atta, Supriya, et al. “Near-infrared induced photothermal lateral-flow immunoassay utilizing plasmonics-active gold nanostars.Analytica Chimica Acta, vol. 1371, Oct. 2025, p. 344409. Epmc, doi:10.1016/j.aca.2025.344409.
Atta S, Zhao Y, Sanchez S, Yampolsky SV, Berner VK, Gates-Hollingsworth MA, Devadhasan JP, Summers AJ, Gu J, Montgomery DC, AuCoin DP, Zenhausern F, Vo-Dinh T. Near-infrared induced photothermal lateral-flow immunoassay utilizing plasmonics-active gold nanostars. Analytica chimica acta. 2025 Oct;1371:344409.
Journal cover image

Published In

Analytica chimica acta

DOI

EISSN

1873-4324

ISSN

0003-2670

Publication Date

October 2025

Volume

1371

Start / End Page

344409

Related Subject Headings

  • Surface Plasmon Resonance
  • Metal Nanoparticles
  • Lipopolysaccharides
  • Limit of Detection
  • Infrared Rays
  • Immunoassay
  • Humans
  • Gold
  • Francisella tularensis
  • Biomarkers