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A 30.3 fA/√Hz Biosensing Current Front-End With 139 dB Cross-Scale Dynamic Range
IEEE Transactions on Biomedical Circuits and Systems
|November 2, 2021
Summary
This study introduces a new low-noise current sensing system for electrochemical biosensors. It enables real-time observation of molecular interactions using a label-free technique.
Area of Science:
- Electronics
- Biotechnology
- Spectroscopy
Background:
- Electrochemical sensors require sensitive current-sensing front-ends for biomolecular detection.
- Existing analog front-ends (AFEs) often face limitations in sensitivity, dynamic range, and power efficiency.
- Label-free and immobilization-free biosensing techniques are crucial for real-time molecular interaction studies.
Purpose of the Study:
- To develop a high-sensitivity, low-noise 8-channel analog front-end (AFE) for on-chip microelectrode electrochemical sensors.
- To achieve efficient and accurate real-time monitoring of protein-ligand interactions.
- To demonstrate the utility of a novel biosensing platform using transient induced molecular electronic spectroscopy (TIMES).
Main Methods:
- Designed an 8-channel array featuring low-noise (30.3 fA/√Hz) current sensing front-ends.
- Implemented a 1st-order continuous-time delta-sigma (CT ΔΣ) modulator for high sensitivity (123 fA) and dynamic range (139 dB).
- Utilized a digital predictor and tri-level pulse width modulated (PWM) current-steering DAC for area- and power-efficient operation.
Main Results:
- Achieved a sensitivity of 123 fA over a 10 Hz bandwidth with a 139 dB cross-scale dynamic range.
- The AFE demonstrated low power consumption (50.3 µW) and small area (0.11 mm²) per channel.
- Successfully observed protein-ligand interactions in real-time using the TIMES technique.
Conclusions:
- The proposed 8-channel AFE offers a highly sensitive and efficient solution for electrochemical biosensing.
- The developed platform enables label- and immobilization-free real-time monitoring of molecular interactions.
- This technology advances biosensing capabilities for applications in molecular diagnostics and research.

