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

Authors
Han, JiwooKim, SuyeonKang, DongkyuLee, Sun-HakCho, Andrew Y.Lee, HeesuKwon, Jung-HoonShin, YongKim, Young-PilLee, Joonseok
Issue Date
Feb-2025
Publisher
AMER CHEMICAL SOC
Keywords
NIR long-lifetime; upconversion nanoparticles; time-gated imaging; background-free detection; high signal-to-noise ratio; lateral flow immunoassay
Citation
ACS SENSORS, v.10, no.2, pp 1312 - 1320
Pages
9
Indexed
SCIE
SCOPUS
Journal Title
ACS SENSORS
Volume
10
Number
2
Start Page
1312
End Page
1320
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/210654
DOI
10.1021/acssensors.4c03202
ISSN
2379-3694
2379-3694
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.
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