Field Detection of Multiple Infectious Diseases with Naked Eye Using Plasmonic-Enhanced Fluorescent Nanoparticles

Accurately diagnosing infectious diseases in a resource-limited setting is a major challenge. Plasmonic materials, via localized surface plasmon resonance (LSPR), have greatly enhanced fluorescence signal and detection sensitivity. However, traditional plasmonic-enhanced fluorescence methods largely rely on near-infrared or visible-light fluorophores with small Stokes shift, limiting naked-eye visibility without filters. In this study, we developed a novel plasmonic silver film (pSilverF) to enhance visible-light fluorescence with large Stokes shift, allowing for improved biomarker detection sensitivity under naked-eye observation. Integrated with bright fluorescent nanoparticles, we designed a multiplexed assay for detecting Hepatitis C Virus (HCV), Hepatitis B Virus (HBV), and Human Immunodeficiency Virus (HIV) antibodies, achieving detection sensitivities down to 0.0032, 0.023, and 0.168 NCU/mL, respectively. In a cohort of 68 clinical samples, our method achieved 100% sensitivity and specificity for HIV and HCV detection and 96% sensitivity and 100% specificity for HBV detection. Notably, the results can be visualized by the naked eye and directly captured by a standard mobile phone camera without any modification for signal analysis using RGB image splitting. This platform demonstrated potential for field detection of multiple infectious diseases with simple settings, providing a useful tool for disease control in communities and areas with limited medical resources.

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Publication Details

Journal
Analytical Chemistry
Published
2025-03-31
DOI
https://doi.org/10.1021/acs.analchem.4c07106
Citations
3
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
4.19

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article

Field Detection of Multiple Infectious Diseases with Naked Eye Using Plasmonic-Enhanced Fluorescent Nanoparticles

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3 citations
Analytical Chemistry
SARS-CoV-2 and COVID-19 Research
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article

Field Detection of Multiple Infectious Diseases with Naked Eye Using Plasmonic-Enhanced Fluorescent Nanoparticles

Rongrong Zou, Pan‐Lin Shao, Cheng Li, Xuan Ning Sharon Tan, Ruibin Hu, Jingkai Yang, Jiahui Lv, HongJun Xiao, Jing Yuan, Ziyi Xu, Ziqi Jin, Bo Zhang, Jiaxin Li, Ying Liu, Shiyu Chen, Yun He, Xiaohe Li, Zexi Tang
article en
3 citations

Abstract

Accurately diagnosing infectious diseases in a resource-limited setting is a major challenge. Plasmonic materials, via localized surface plasmon resonance (LSPR), have greatly enhanced fluorescence signal and detection sensitivity. However, traditional plasmonic-enhanced fluorescence methods largely rely on near-infrared or visible-light fluorophores with small Stokes shift, limiting naked-eye visibility without filters. In this study, we developed a novel plasmonic silver film (pSilverF) to enhance visible-light fluorescence with large Stokes shift, allowing for improved biomarker detection sensitivity under naked-eye observation. Integrated with bright fluorescent nanoparticles, we designed a multiplexed assay for detecting Hepatitis C Virus (HCV), Hepatitis B Virus (HBV), and Human Immunodeficiency Virus (HIV) antibodies, achieving detection sensitivities down to 0.0032, 0.023, and 0.168 NCU/mL, respectively. In a cohort of 68 clinical samples, our method achieved 100% sensitivity and specificity for HIV and HCV detection and 96% sensitivity and 100% specificity for HBV detection. Notably, the results can be visualized by the naked eye and directly captured by a standard mobile phone camera without any modification for signal analysis using RGB image splitting. This platform demonstrated potential for field detection of multiple infectious diseases with simple settings, providing a useful tool for disease control in communities and areas with limited medical resources.

Analytical ChemistryVol. 97(13)
Target (United States) (US), Southern University of Science and Technology (CN), Key Laboratory of Guangdong Province (CN), National Clinical Research (US), State Key Laboratory of Respiratory Disease (CN), Shenzhen Third People’s Hospital (CN), Guangzhou Medical University (CN)
National Natural Science Foundation of China, Science, Technology and Innovation Commission of Shenzhen Municipality
Openalex Percentile: Top 7%
SARS-CoV-2 and COVID-19 Research
4.19
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