Construction of DNA Strand Displacement Memristor and Research on Its Filter Circuit Characteristics

WANG Yanfeng; CHEN Guanzhou; SUN Ce; SUN Junwei

doi:10.11999/JEIT260283

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WANG Yanfeng, CHEN Guanzhou, SUN Ce, SUN Junwei. Construction of DNA Strand Displacement Memristor and Research on Its Filter Circuit Characteristics[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT260283

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WANG Yanfeng, CHEN Guanzhou, SUN Ce, SUN Junwei. Construction of DNA Strand Displacement Memristor and Research on Its Filter Circuit Characteristics[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT260283

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Construction of DNA Strand Displacement Memristor and Research on Its Filter Circuit Characteristics

doi: 10.11999/JEIT260283 cstr: 32379.14.JEIT260283

College of Electronic and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 45002, China

Funds: the National Natural Science Foundation of China under Grant 62272424, 62473342 and 62276239, and in part by Scientific and Technological Innovation Team in University of Henan Province under Grant 24IRTSTHN023

Accepted Date: 2026-06-17
Rev Recd Date: 2026-06-17

Available Online: 2026-06-23

Abstract

Abstract

Objective In modern control and signal processing systems, filter circuits are essential for noise suppression and signal integrity enhancement. Conventional RC filters, while widely used, lack adaptability and miniaturization capabilities required for emerging molecular and nano-scale computing platforms. This study introduces a novel integration of DNA Strand Displacement (DSD) technology with memristor-based circuits to develop tunable, multi-stable molecular filters. The objective is to design and validate first- and second-order low-pass filter circuits that leverage the dynamic response and state-dependent behavior of DSD-based memristors. These filters aim to achieve improved frequency selectivity, parameter adaptability, and system stability compared to traditional filter architectures. The proposed approach targets applications in molecular signal processing, integrated bio-circuits, and adaptive filtering systems where compact size and reconfigurability are critical. Methods The methodology follows a four-stage process. First, core DSD reaction modules (sine, cosine, integration, addition, multiplication) are designed to construct a programmable multi-state memristor model. Second, DSD-based square and sinusoidal inputs are synthesized to evaluate memristor response under varying frequencies and amplitudes. Third, these memristors are integrated into RC filter topologies to build first-order and second-order low-pass filters, replacing fixed resistors with tunable DSD-based memristive elements. Fourth, comprehensive simulations are performed using Visual DSD for molecular dynamics and MATLAB for circuit-level analysis. Performance is assessed via transfer functions, Nyquist plots, Bode diagrams, and time-domain comparisons with classical RC filters. This multi-tool approach rigorously validates both molecular feasibility and electronic functionality. Results and Discussions The DSD-based memristor exhibits multi-stable behavior with six equilibrium states under controlled initial conditions (Fig. 7). The first-order filter provides stable attenuation for square and sinusoidal inputs, with output amplitudes consistently exceeding those of traditional RC filters across tested frequencies (Table 3). The second-order filter further reduces signal delay and improves stability, especially under high-frequency inputs (Table 4). Frequency response analyses confirm that cutoff frequencies can be dynamically tuned by adjusting DSD reaction rates and initial concentrations (Figs. 8, 10). The system maintains robust performance under varying signal types and environmental simulations, demonstrating adaptability. These results validate the feasibility of DSD-memristor integration for adaptive filtering, offering a promising alternative to conventional rigid circuits in molecular-scale applications. Conclusions This study successfully designs and validates a DSD-based memristor with multi-stable characteristics and its corresponding first- and second-order low-pass filter circuits. The proposed filters demonstrate superior performance in terms of output stability, parameter tunability, and frequency adaptability compared to traditional RC architectures. By integrating DSD technology with memristor theory, we enable a new class of reconfigurable, molecular-scale filtering systems suitable for advanced signal processing applications. The work provides a foundation for future research in adaptive molecular circuits, intelligent filtering, and nano-electronic system design. Further developments could include hardware implementation, real-time tuning algorithms, and integration with machine learning for autonomous signal optimization in IoT and biomedical devices.
- DNA Strand Displacement,
- Memristor,
- Multistability,
- Filter Circuit

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References(26)

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