<p>This study presents an approach for designing of the biotransducers capable of detecting biological charges using silicon nanowires (SiNWs). The primary objective was to optimize the SiNW’s geometrical and electrical properties to establish consistent memristor behavior in the SiNWs, thereby enhancing its functionality for the precise biological detection. A conceptual model was developed to guide this optimization process, with real-time integration between COMSOL and MATLAB simulations allowing precise identification of key design features. Results reveal that the resistance of the SiNWs exhibits memristor-like behaviour and effectively affected by the surface and space charge conditions. Comprehensive performance analysis, particularly under varying surface and space charge densities, demonstrates the transducer’s high precision and sensitivity as a bio-to-electrical interface, essential for accurate biological charge detection. The distinctive memristive I-V characteristics and hysteresis loops further improve the device’s capability to detect charge variations, highlighting its potential as an electronic biotransducer with information-rich I-V characteristics, enabling precise charge sensing. The operation and role of the Memristive-SiNW (M-SiNW) in biocharge sensing can also contribute to the development of biosensors capable of label-free biological signal detection, enabling advanced applications in biotransducers, including high-sensitivity charge detection and compatibility with the integrated electronic circuits. This approach highlights the potential for the silicon nanowire-based transducers in diverse biosensing fields, offering precise and flexible solutions for the real-time biological monitoring.</p>

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Optimized Design of a Memristive-SiNW Biotransducer in Charge Detection

  • Hossein Rezaei Estakhroyeh,
  • Mahdiyeh Mehran,
  • Esmat Rashedi

摘要

This study presents an approach for designing of the biotransducers capable of detecting biological charges using silicon nanowires (SiNWs). The primary objective was to optimize the SiNW’s geometrical and electrical properties to establish consistent memristor behavior in the SiNWs, thereby enhancing its functionality for the precise biological detection. A conceptual model was developed to guide this optimization process, with real-time integration between COMSOL and MATLAB simulations allowing precise identification of key design features. Results reveal that the resistance of the SiNWs exhibits memristor-like behaviour and effectively affected by the surface and space charge conditions. Comprehensive performance analysis, particularly under varying surface and space charge densities, demonstrates the transducer’s high precision and sensitivity as a bio-to-electrical interface, essential for accurate biological charge detection. The distinctive memristive I-V characteristics and hysteresis loops further improve the device’s capability to detect charge variations, highlighting its potential as an electronic biotransducer with information-rich I-V characteristics, enabling precise charge sensing. The operation and role of the Memristive-SiNW (M-SiNW) in biocharge sensing can also contribute to the development of biosensors capable of label-free biological signal detection, enabling advanced applications in biotransducers, including high-sensitivity charge detection and compatibility with the integrated electronic circuits. This approach highlights the potential for the silicon nanowire-based transducers in diverse biosensing fields, offering precise and flexible solutions for the real-time biological monitoring.