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December 6, 2025Nature Communications11 citationsOpen Access

Demonstration of CMOS-compatible memristor-based electrochemical biosensor transducer with threshold-sensing functionality

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KTK. TheyagarajanSSSairaman SaikrithikaNBNam Ho Bae

Key Points

  • Memristor-based transducer enables built-in threshold-sensing functionality, improving efficiency.
  • Resistance change of memristor (R M) confirms its operational capability in detecting biomarkers.
  • Integration of sensor electrode and signal processing module forms a complete biosensor system.
  • This development suggests significant energy reductions, enhancing portability for point-of-care diagnostics.

Abstract

Abstract Many electrochemical biosensors operate based on a threshold-sensing (TS) method, which indicates the presence of a disease when the concentration of a biomarker exceeds a predetermined, disease-specific threshold. The TS in biosensor systems is often implemented using power-hungry signal processing (SP) modules or computers, which increases energy consumption and system complexity. Here, we propose a memristor-based bio-to-electrical transducer with built-in TS functionality, allowing TS to be performed directly within the transducer instead of relying on SP modules and computers. Fabricated resistive random-access memory-based TaO X /Ta 2 O 5 memristors meet the transducer requirements, such as a high on/off ratio greater than 30 while maintaining a long unit pulse width exceeding 10 μs. The intended operation of the proposed transducer was experimentally confirmed by the immediate change in resistance of the memristor (R M ) from high resistance state to low resistance state. Using this proposed transducer, a complete electrochemical biosensor system was implemented by integrating a sensor electrode for pH sensing, an SP module, and a display with the proposed transducer. The memristor-based system offers flexible control of the threshold pH point through a simple design, making it well-suited for point-of-care diagnostics, where portability is highly essential.

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Cite This Study

Theyagarajan et al. (2025) studied this question.

synapsesocial.com/papers/69337cfbb3f947a0a125a59dhttps://doi.org/10.1038/s41467-025-66372-w
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