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The ECL enhancement of MBene QDs with nanoparticle-on-mirror structure for sensitive detection of exosomal miRNA.

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Analytica chimica acta 📖 저널 OA 6.3% 2023: 0/1 OA 2024: 0/1 OA 2025: 1/24 OA 2026: 3/37 OA 2023~2026 2024 Vol.1314() p. 342792
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Gao Y, Wang P, Liang Z, Li Z, Li W, Ma Q

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Thyroid cancer is the most prevalent endocrine malignancy.

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APA Gao Y, Wang P, et al. (2024). The ECL enhancement of MBene QDs with nanoparticle-on-mirror structure for sensitive detection of exosomal miRNA.. Analytica chimica acta, 1314, 342792. https://doi.org/10.1016/j.aca.2024.342792
MLA Gao Y, et al.. "The ECL enhancement of MBene QDs with nanoparticle-on-mirror structure for sensitive detection of exosomal miRNA.." Analytica chimica acta, vol. 1314, 2024, pp. 342792.
PMID 38876514 ↗

Abstract

Thyroid cancer is the most prevalent endocrine malignancy. The development of sensitive and reliable methods to detect the thyroid cancer is the currently urgent requirement. Herein, we developed an electrochemiluminescence (ECL) biosensor based on MBene derivative quantum dots (MoB QDs) and Ag NP-on-mirror (NPoM) nanocavity structure. On the one hand, MBene QDs as a novel luminescent material in the ECL process was reported for the first time, which can react with HO as co-reactant. On the other hand, the NPoM nanostructure was successfully constructed with the Ag mirror and Ag NPs to provide highly localized hot spots. The NPoM structure had high degree of light field confinement and electromagnetic field enhancement, which can amplify the ECL signal as the signal modulator. Therefore, the synergistic effect of the nanocavity and localized surface plasmon resonance (LSPR) mode in the NPoM facilitated the enhancement of the ECL signal of MoB QDs over 21.7 times. Subsequently, the proposed ECL biosensing system was employed to analyze the expression level of miRNA-222-3p in the thyroid cancer exosome. The results indicated the relative association between miRNA-222-3p and BRAF mutation. The MoB QDs/NPoM biosensor displayed the ideal potential in assessing thyroid cancer progression for advancing clinical diagnosis applications.

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