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Near-infrared long lifetime upconversion nanoparticles for ultrasensitive microRNA detection via time-gated luminescence resonance energy transferopen access

Authors
Kim, SuyeonPark, YeonkyungHan, JiwooKim, HansolJang, HyowonKim, SohyungKang, DongkyuLee, Min-YoungJeong, Byeong-HoByun, YureeKang, TaejoonLee, Joonseok
Issue Date
Aug-2025
Publisher
Nature Publishing Group
Keywords
Micrornas; Microrna; Upconversion Nanoparticle; Nanoparticle; Cancer; Luminescence; Polymerase Chain Reaction; Reactivation; Resonance; Rna; Article; Cancer Cell; Cancer Patient; Cell Differentiation; Energy Transfer; Exosome; Infrared Radiation; Steady State; Blood; Chemistry; Fluorescence Resonance Energy Transfer; Genetic Procedures; Genetics; Human; Metabolism; Procedures; Tumor Cell Line; Biosensing Techniques; Cell Line, Tumor; Energy Transfer; Exosomes; Fluorescence Resonance Energy Transfer; Humans; Luminescence; Luminescent Measurements; Micrornas; Nanoparticles
Citation
Nature Communications, v.16, no.1
Indexed
SCIE
SCOPUS
Journal Title
Nature Communications
Volume
16
Number
1
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/208733
DOI
10.1038/s41467-025-62802-x
ISSN
2041-1723
2041-1723
Abstract
Upconversion nanoparticle (UCNP)-based luminescence resonance energy transfer (LRET) biosensing offers advantages such as wash-free detection and precise biomolecule quantification. However, its sensitivity remains limited due to continuous energy transfer in co-doped UCNPs during LRET. Here we present a time-gated LRET strategy using near-infrared (NIR) long-lived luminescent UCNP donors (L-TG-LRET), achieving an 8-fold increase in luminescence lifetime without compromising emission intensity. This prolonged energy migration and transfer pathway significantly enhances sensitivity by preventing rapid Tm3+ reactivation during LRET to IRDye800 acceptors. Applying this approach to microRNA (miRNA) detection, we achieve a 17.9-fold higher sensitivity than conventional steady-state methods. Furthermore, the L-TG-LRET successfully quantifies miRNA expression in cancer cells, plasma, and exosomes, enabling the differentiation of cancer patients from healthy donors. Notably, this approach outperforms polymerase chain reaction in detecting low-abundance exosomal miRNAs. These results highlight the potential of L-TG-LRET system as a valuable tool for sensitive biomolecular detection in clinical diagnostics. © 2025 Elsevier B.V., All rights reserved.
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