Hybrid CMOS-Graphene Sensor Array for Subsecond Dopamine Detection

Bayan Nasri, Ting Wu, Abdullah Alharbi, Kae Dyi You, Mayank Gupta, Sunit P. Sebastian, Roozbeh Kiani, Davood Shahrjerdi

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
JournalIEEE Transactions on Biomedical Circuits and Systems
DOIs
StateAccepted/In press - Dec 11 2017

Fingerprint

Sensor arrays
Graphene
Digital to analog conversion
Cyclic voltammetry
Multilayers
Sampling
Electrodes
Dopamine
Sensors

Keywords

  • Biomedical measurement
  • Biosensor
  • Current measurement
  • cyclic voltammetry
  • dopamine
  • dual-slope ADC
  • Electric potential
  • electrochemical sensor
  • Electrodes
  • FSCV
  • graphene
  • Integrated circuits
  • Power capacitors
  • Semiconductor device measurement

ASJC Scopus subject areas

  • Biomedical Engineering
  • Electrical and Electronic Engineering

Cite this

Hybrid CMOS-Graphene Sensor Array for Subsecond Dopamine Detection. / Nasri, Bayan; Wu, Ting; Alharbi, Abdullah; You, Kae Dyi; Gupta, Mayank; Sebastian, Sunit P.; Kiani, Roozbeh; Shahrjerdi, Davood.

In: IEEE Transactions on Biomedical Circuits and Systems, 11.12.2017.

Research output: Contribution to journalArticle

Nasri, Bayan ; Wu, Ting ; Alharbi, Abdullah ; You, Kae Dyi ; Gupta, Mayank ; Sebastian, Sunit P. ; Kiani, Roozbeh ; Shahrjerdi, Davood. / Hybrid CMOS-Graphene Sensor Array for Subsecond Dopamine Detection. In: IEEE Transactions on Biomedical Circuits and Systems. 2017.
@article{e73eb69d9a744a7a88d81cd39c93f9aa,
title = "Hybrid CMOS-Graphene Sensor Array for Subsecond Dopamine Detection",
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.",
keywords = "Biomedical measurement, Biosensor, Current measurement, cyclic voltammetry, dopamine, dual-slope ADC, Electric potential, electrochemical sensor, Electrodes, FSCV, graphene, Integrated circuits, Power capacitors, Semiconductor device measurement",
author = "Bayan Nasri and Ting Wu and Abdullah Alharbi and You, {Kae Dyi} and Mayank Gupta and Sebastian, {Sunit P.} and Roozbeh Kiani and Davood Shahrjerdi",
year = "2017",
month = "12",
day = "11",
doi = "10.1109/TBCAS.2017.2778048",
language = "English (US)",
journal = "IEEE Transactions on Biomedical Circuits and Systems",
issn = "1932-4545",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Hybrid CMOS-Graphene Sensor Array for Subsecond Dopamine Detection

AU - Nasri, Bayan

AU - Wu, Ting

AU - Alharbi, Abdullah

AU - You, Kae Dyi

AU - Gupta, Mayank

AU - Sebastian, Sunit P.

AU - Kiani, Roozbeh

AU - Shahrjerdi, Davood

PY - 2017/12/11

Y1 - 2017/12/11

N2 - 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.

AB - 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.

KW - Biomedical measurement

KW - Biosensor

KW - Current measurement

KW - cyclic voltammetry

KW - dopamine

KW - dual-slope ADC

KW - Electric potential

KW - electrochemical sensor

KW - Electrodes

KW - FSCV

KW - graphene

KW - Integrated circuits

KW - Power capacitors

KW - Semiconductor device measurement

UR - http://www.scopus.com/inward/record.url?scp=85038812518&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85038812518&partnerID=8YFLogxK

U2 - 10.1109/TBCAS.2017.2778048

DO - 10.1109/TBCAS.2017.2778048

M3 - Article

JO - IEEE Transactions on Biomedical Circuits and Systems

JF - IEEE Transactions on Biomedical Circuits and Systems

SN - 1932-4545

ER -