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Updated: Nov 3, 2025

MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as A Novel Detection and Quantification Method
Published on: October 7, 2025
Sensitive detection of miRNA based on enzyme-propelled multiple photoinduced electron transfer strategy
Yumeng Yang1, Shaowei Liu2, Xiaofeng Cui1
1College of Chemistry and Chemical Engineering, Anqing Normal University, Anqing, 246011, China.
Abstract:
A method is presented that uses photoinduced electron transfer (PET) for the determination of microRNAs (miRNAs) in clinical serum samples and complicated cell samples by using a smartphone. miRNA-21 is adopted as a model analyte. A 3'-phosphorylated DNA probe containing AgNCs is synthesized and hybridized with miRNA-21. Subsequently, the probe is cleaved specifically by duplex-specific nuclease to form 3'-hydroxylated products, then extended by terminal deoxynucleotidyl transferase (TdT) with superlong G for G-quadruplex/hemin units fabrication. In this way, PET occurred between AgNCs and produced G-quadruplex/hemin units, leading to the fluorescence quenching of AgNCs. Notably, the fluorescence images can be captured and translated into digital information by smartphone, resulting in a direct quantitative determination of miRNA. As a result, our strategy for miRNA assay is achieved with a satisfactory detection limit of 1.43 pM. Interestingly, TdT-propelled G-quadruplex/hemin units as multiple electron acceptors promote the sensitivity of miRNA monitoring. Different miRNAs assays are realized by adjusting the complimentary sequences of DNA probe. These qualities not only broaden the practical application of PET-based strategy, but also provide a new insight into the nucleic acid detection. Schematic representation of AgNCs and enzyme-propelled photoinduced electron transfer strategy. It has been successfully applied for detection of miRNA by image analysis software. The method displays portability and accuracy for miRNA determination, meeting the potential for biochemical and clinical applications in resource-limited settings.

