VLSI Potentiostat Array With Oversampling Gain Modulation for Wide-Range Neurotransmitter Sensing

Area of Science:

• Neuroscience
• Electrical Engineering
• Materials Science

Background:

• Electrochemical detection of neurotransmitters like dopamine and nitric oxide is crucial for understanding neurological processes.
• Existing sensor systems often face limitations in sensitivity, dynamic range, or power consumption.

Purpose of the Study:

• To develop a highly sensitive, low-power 16-channel sensor array system for electrochemical neurotransmitter detection.
• To enable real-time, multichannel acquisition of neurotransmitter concentrations.

Main Methods:

• A 16-channel current-measuring very large-scale integration (VLSI) sensor array system was designed and fabricated using 0.5-μm CMOS technology.
• Each channel integrates a current-measuring potentiostat with a switched-capacitor delta-sigma modulator (incremental analog-to-digital converter).
• Programmable digital range selection was achieved through duty-cycle modulation and variable oversampling ratio.

Main Results:

• The sensor array demonstrates high sensitivity with 100-fA input current detection capability.
• Achieved ultra-low power consumption of 3.4-μW per channel.
• Successfully demonstrated real-time multichannel acquisition of neurotransmitter concentrations.

Conclusions:

• The developed VLSI sensor array system offers a sensitive and efficient platform for electrochemical neurotransmitter detection.
• The system's low power consumption and wide dynamic range make it suitable for various neuroscience applications.
• This technology facilitates advanced real-time monitoring of neurotransmitter dynamics.