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Updated: Jan 27, 2026

Author Spotlight: Advancements in DNA Nanosensors – Addressing Sensitivity and Selectivity Challenges in Molecular Detection
Published on: February 9, 2024
Cascade signal amplified assay of nucleic acids based on entropy-driven amplification strategy and Mg2+-dependent
Erhu Xiong1, Deshuai Zhen2, Ling Jiang1
1College of Life Science, South China Normal University, Guangzhou 510631, China; State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China.
Abstract:
Nucleic acids-based biosensors are extremely important in modern life sciences and have been widely used for the detection of many biomarkers of disease and extensively applied in many fields, such as medical analysis, gene therapy, and pathogen determination. Therefore, it is necessary to develop some sensitive and selective methods for rapid detection of nucleic acids. In this work, an ultrasensitive and non-enzyme electrochemical biosensor has been developed for nucleic acids detection based on entropy-driven amplification (EDA) strategy and Mg2+-dependent DNAzyme cleavage method. In the presence of target DNA (T-DNA), the T-DNA could hybridize with the premade three-strand duplex (TD) through the toehold region to initiate the EDA process (Cycle I), leading to the generation of Mg2+-dependent DNAzyme served for Cycle II. The newly formed Mg2+-dependent DNAzyme could hybridize with the methylene blue (MB)-labeled hairpin DNA (MB-HP) on the gold electrode surface which induced the cleavage process of Mg2+, resulting in the recycle of Mg2+-dependent DNAzyme, accompanied by the release of MB-labeled DNA fragment from the gold electrode surface. Based on the proposed strategy, the developed electrochemical biosensor exhibited a wide linear relationship in the range from 5 fM to 1 nM with a limit of detection (LOD) of 2.7 fM (S/N = 3), which gave the developed electrochemical biosensor a great promising for the detection of nucleic acids in biomedical research and disease diagnosis.
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