Near-Infrared Long-Lived Luminescent Nanoparticle-Based Time-Gated Imaging for Background-Free Detection of Avian Influenza Virus

Near-infrared (NIR)-to-NIR upconversion nanoparticles (UCNPs) are promising materials for biomedical imaging and sensing applications. However, UCNPs with long lifetimes continue to face the limitation that they are usually accompanied by weak luminescence intensity, resulting in difficulties in achieving high-resolution and sensitive time-gated imaging. To overcome this limitation, we have developed NIR long-lifetime luminescent nanoparticles (NLL NPs) with strong 800 nm emission by adding a photosensitizing shell and with a prolonged lifetime by lowering the activator concentration. NLL NP-based time-gated imaging overcomes the inherent limitations of steady-state imaging by providing higher signal-to-noise ratios and more robust signal intensities. When integrated into a lateral flow immunoassay (LFA) for the detection of avian influenza viruses, NLL NP-based time-gated imaging demonstrates a 32-fold lower limit of detection compared to conventional optimal 800 nm emitting nanoparticles. Furthermore, the high accuracy of the NLL NP-based LFA is confirmed through clinical validations using 65 samples, achieving a sensitivity and specificity of 100% and an area under the curve of 1.000. These results demonstrate the potential of NLL NP-based time-gated imaging as a powerful tool for the highly sensitive and accurate detection of avian influenza viruses in complex clinical samples.

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Publication Details

Journal
ACS Sensors
Published
2025-02-15
DOI
https://doi.org/10.1021/acssensors.4c03202
Citations
8
Primary Topic
Influenza Virus Research Studies
Type
article
Field-Weighted Citation Impact
10.83

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article

Near-Infrared Long-Lived Luminescent Nanoparticle-Based Time-Gated Imaging for Background-Free Detection of Avian Influenza Virus

Dongkyu Kang, Sun-Hak Lee, Heesu Lee, Yong Shin et al.
8 citations
ACS Sensors
Influenza Virus Research Studies
10.83
article

Near-Infrared Long-Lived Luminescent Nanoparticle-Based Time-Gated Imaging for Background-Free Detection of Avian Influenza Virus

Dongkyu Kang, Sun-Hak Lee, Heesu Lee, Yong Shin, Young‐Pil Kim, Joonseok Lee, Andrew Yong Cho, Suyeon Kim, Jiwoo Han, Jung-Hoon Kwon
article en
8 citations

Abstract

Near-infrared (NIR)-to-NIR upconversion nanoparticles (UCNPs) are promising materials for biomedical imaging and sensing applications. However, UCNPs with long lifetimes continue to face the limitation that they are usually accompanied by weak luminescence intensity, resulting in difficulties in achieving high-resolution and sensitive time-gated imaging. To overcome this limitation, we have developed NIR long-lifetime luminescent nanoparticles (NLL NPs) with strong 800 nm emission by adding a photosensitizing shell and with a prolonged lifetime by lowering the activator concentration. NLL NP-based time-gated imaging overcomes the inherent limitations of steady-state imaging by providing higher signal-to-noise ratios and more robust signal intensities. When integrated into a lateral flow immunoassay (LFA) for the detection of avian influenza viruses, NLL NP-based time-gated imaging demonstrates a 32-fold lower limit of detection compared to conventional optimal 800 nm emitting nanoparticles. Furthermore, the high accuracy of the NLL NP-based LFA is confirmed through clinical validations using 65 samples, achieving a sensitivity and specificity of 100% and an area under the curve of 1.000. These results demonstrate the potential of NLL NP-based time-gated imaging as a powerful tool for the highly sensitive and accurate detection of avian influenza viruses in complex clinical samples.

ACS SensorsVol. 10(2)
Yonsei University (KR), Konkuk University (KR), Kyungpook National University (KR), Institute for Basic Science (KR), Convergence (US), Hanyang University (KR)
Hanyang University, Ministry of Trade, Industry and Energy, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 2%
Influenza Virus Research Studies
10.83
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