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Updated: May 25, 2025

Development of an Electrochemical DNA Biosensor to Detect a Foodborne Pathogen
Published on: June 3, 2018
An electrochemical biosensing platform initiated simultaneously from multi-directions with programmable enzyme-free
Jing Ye1, Xiaoyu Zhang2, Chunyan Liu3
1Key Laboratory of Soybean Molecular Design Breeding, National Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China.
Abstract:
Single-nucleotide variations (SNVs) represent vital clinical and biological information in the onset and progression of many cancers, but lacking of cost-effective, high-sensitive and reliable SNVs detection method. In this study, we propose a programmable electrochemical biosensing strategy initiated simultaneously from multi-directions by enzyme-free amplifying circuit for high-sensitivity SNVs detection. Through elaborate design, we utilized the power of conventional enzyme-free catalytic reaction to activate a multidirectional initiation self-assembly process, enabling multiple amplification. This innovative cascade strategy significantly improved the amplification performance and detection sensitivity. Subsequently, KRAS gene of cancer cells was used as proof-of concept model for SNVs recognition to demonstrate the capability. With the help of cascade design, the single-base differences between SNV sequence and wild-type sequence (WT) could be differentiated and amplified effectively. Consequently, abundant Y-shaped DNA structure efficiently was induced by DNA variant to generate on the electrode surface, facilitating the incorporation of methylene blue (MB) redox indicator. Therefore, a "signal-on" electrochemical biosensing platform was constructed. Our enzyme-free biosensor achieved a low detection limit of 36 aM and a broader linear range spanning from 100 aM to 1 nM under optimal experimental conditions. The capability of proposed cascaded DNA network to detect DNA variants in complex cancer cells and serum samples indicated the potential applicability in real sample analysis.

