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• W4289202904 endingPage "340218" @default.
• W4289202904 startingPage "340218" @default.
• W4289202904 abstract "Accurate detection of microRNA (miRNA) is challenging but essential for disease diagnostics and therapeutics. To meet the high demands of miRNA analysis, we proposed a highly sensitive and specific electrochemical strategy based on duplex-specific nuclease (DSN)-assisted target recycling and DNA self-assembled FeN x C nanocatalytic network for precise quantitation of miRNA-21 as a model. FeN x C nanospherical catalyst with high peroxidase-mimicking activity was synthesized through high-temperature pyrolysis and modified with DNA. The identification of miRNA-21 by elaborately designed capture probe triggered DSN-assisted target recycling. Subsequently, self-assembled FeN x C nanocatalytic network was constructed on the sensor surface through DNA hybridization reaction, whose signal response was demonstrated to be 4.272-fold higher than the single layer of FeN x C. By virtue of such cascade signal amplification, ultrasensitive electrochemical detection of miRNA-21 was realized in a dynamic range of 0.5 fM - 1 pM with a detection limit of 0.2805 fM. Additionally, the proposed strategy exhibited high specificity for miRNA-21 and practical applicability in real sample analysis, demonstrating promising potential for the reliable miRNA analysis in disease diagnosis and therapy applications. • FeN x C nanocatalyst with high peroxidase-mimicking activity was synthesized. • The FeN x C-DNA nanocatalytic network leads to 4.272-fold signal amplification. • Cascade signal amplification based on DSN and FeN x C nanocatalytic network. • A highly sensitive and selective electrochemical strategy for microRNA detection." @default.
• W4289202904 created "2022-08-01" @default.
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• W4289202904 date "2022-08-01" @default.
• W4289202904 modified "2023-09-24" @default.
• W4289202904 title "DNA self-assembled FeNxC nanocatalytic network for ultrasensitive electrochemical detection of microRNA" @default.
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• W4289202904 doi "https://doi.org/10.1016/j.aca.2022.340218" @default.
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