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Updated: May 12, 2026

Fabrication of Electrochemical-DNA Biosensors for the Reagentless Detection of Nucleic Acids, Proteins and Small Molecules
Published on: June 1, 2011
Spherical Nucleic Acid Probes on Floating-Gate Field-Effect Transistor Biosensors for Attomolar-Level Analyte
Haoran Wang1,2, Jing Xie3, Mengmeng Xiao1,2
1Hunan Institute of Advanced Sensing and Information Technology, Hunan Provincial Key Laboratory of Smart Carbon Materials and Advanced Sensing, Xiangtan University, Hunan 411105, China.
Abstract:
Field-effect transistor (FET) sensors are attractive for the label-free detection of target biomolecules, offering ultrahigh sensitivity and a rapid response. However, conventional methods for modifying biomolecular probes on sensors often involve intricate and time-consuming procedures that require specialized training. Herein, we propose a simple and versatile approach to functionalize floating-gate (FG) FET sensors by exploiting the strong binding ability of polyvalent interactions and the three-dimensional structure of densely functionalized spherical nucleic acids (SNAs). Crucially, the SNAs can be easily deposited onto a dielectric layer under mild conditions, ensuring stable immobilization of the probes. Further, the SNAs show efficient and robust immobilization on various dielectric layers including Y2O3, Ta2O5, and HfO2, forming conjugates that resist denaturation by various agents. By modifying the DNA sequence within the SNAs, we achieved highly sensitive FG-FET biosensors for DNA, adenosine triphosphate, and viral nucleic acids at the attomolar level. For clinical samples detection, unamplified enterovirus 71 RNA at levels as low as 0.13 copies μL-1 was detected within 100 s. Moreover, the sensor attained 100% accuracy for analyte detection in both positive and negative samples. Our findings provide a general and simple method for fabricating FET-based biochemical sensors and demonstrate that the SNA-modified FG-FET biosensor is a versatile and reliable integrated platform for ultrasensitive biomarker detection.
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