ArticleIEEE transactions on biomedical circuits and systems2017
Hybrid CMOS-Graphene Sensor Array for Subsecond Dopamine Detection.
Article in IEEE transactions on biomedical circuits and systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 27 citations in OpenAlex.
- From Sensing Mechanisms to System Co-Design: Graphene-Based Sensors and Readout Circuits.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- A Dual-Mode Neural Amplifier Array for Biopotential and FSCV-Based Neurochemical Measurements.Biosensors · 2026Article
- Stabilized carbon coating on microelectrodes for scalable and interoperable neurotransmitter sensing.Nature communications · 2025Article
- CMOS Point-of-Care Diagnostics Technologies: Recent Advances and Future Prospects.Micromachines · 2024Review
- Development of a Smart Wireless Multisensor Platform for an Optogenetic Brain Implant.Sensors (Basel, Switzerland) · 2024Article
- Design and Analysis of a Sample-and-Hold CMOS Electrochemical Sensor for Aptamer-based Therapeutic Drug Monitoring.IEEE journal of solid-state circuits · 2020Article
- Understanding and Mapping Sensitivity in MoSACS nano · 2020Article
- Quantitative Principles for Precise Engineering of Sensitivity in Graphene Electrochemical Sensors.Advanced materials (Deerfield Beach, Fla.) · 2019Article
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
We introduce a hybrid CMOS-graphene sensor array for subsecond measurement of dopamine via fast-scan cyclic voltammetry (FSCV). The prototype chip has four independent CMOS readout channels, fabricated in a 65-nm process. Using planar multilayer graphene as biologically compatible sensing material enables integration of miniaturized sensing electrodes directly above the readout channels. Taking advantage of the chemical specificity of FSCV, we introduce a region of interest technique, which subtracts a large portion of the background current using a programmable low-noise constant current at about the redox potentials. We demonstrate the utility of this feature for enhancing the sensitivity by measuring the sensor response to a known dopamine concentration in vitro at three different scan rates. This strategy further allows us to significantly reduce the dynamic range requirements of the analog-to-digital converter (ADC) without compromising the measurement accuracy. We show that an integrating dual-slope ADC is adequate for digitizing the background-subtracted current. The ADC operates at a sampling frequency of 5-10 kHz and has an effective resolution of about 60 pA, which corresponds to a theoretical dopamine detection limit of about 6 nM. Our hybrid sensing platform offers an effective solution for implementing next-generation FSCV devices that can enable precise recording of dopamine signaling in vivo on a large scale.
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