Low-Noise and Process Variation-Tolerant Readout Circuit for Electrochemical Sensors
- 9 May 2024
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Sensors Journal
- Vol. 24 (12) , 19274-19285
Abstract
This study describes the design and development of a low-noise, process variation-tolerant potentiostat readout integrated circuit optimized for electrochemical sensors in biomedical applications. Accurate and fast detection by electrical signals, particularly for pathogenic viruses, is critical in the biomedical field. Therefore, design criteria for bio-signal sensing architectures emphasize high precision and low noise to ensure high reliability. The proposed potentiostat readout circuit integrates key components, such as a control amplifier (CA), transimpedance amplifier (TIA), 12-bit R-2R digital-to-analog converter (DAC), 12-bit SAR analog-to-digital converter (ADC), relaxation oscillator, clock divider, current/voltage reference, and serial peripheral interface. The chopping technique is adopted to mitigate the 1/f noise. The low-frequency noise is substantially reduced by implementing chopper stabilization in the CA and TIA. High precision DACs are required because various waveforms, including DC, triangular, and ramp functions, are utilized for electrochemical measurement. In this design, dynamic element matching is applied to DACs with high precision. This approach can reduce the intrinsic mismatch in the R-2R DAC, thereby improving the offset error and spurious free dynamic range from -1.4 LSB and 74 dB to -0.5 LSB and 79 dB, respectively. The readout circuit was fabricated using a standard 180 nm CMOS process and can measure sensor currents in the range of ±20 μA, achieving a linearity performance of 0.9998. The input-referred noise, as measured, is 6.65 pA RMS in the frequency range of 0.5 to 400 Hz, and the total current consumption of the circuit is 339.6 μA at a supply voltage of 3.3 V.Keywords
Funding Information
- National NanoFab Center (CP23005M)
- National Research Foundation of Korea (2022R1A2C100517012)
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