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
N1 - Funding Information:
Manuscript received June 24, 2017; revised October 19, 2017; accepted November 8, 2017. Date of publication December 12, 2017; date of current version December 29, 2017. This work was supported by the Center for Functional Nanomaterials, which is a U.S. DOE Office of Science Facility, at Brookhaven National Laboratory under Contract DE-SC0012704. The work of D. Shahrjerdi was support by NSF-CMMI award 1728051. The work of R. Kiani was support in part by NIMH under Grant R01MH109180-01. This paper was recommended by Associate Editor R. Genov. (Bayan Nasri and Ting Wu contributed equally to this work.) (Corresponding author: Davood Shahrjerdi.) B. Nasri, T. Wu, A. Alharbi, K.-D. You, M. Gupta, S. P. Sebastian, and D. Shahrjerdi are with the Department of Electrical and Computer Engineering, Tandon School of Engineering, New York University, Brooklyn, NY 11201 USA (e-mail: [email protected]; [email protected]; alharbi@ nyu.edu; [email protected]; [email protected]; [email protected]; [email protected]).
Publisher Copyright:
© 2007-2012 IEEE.
PY - 2017/12
Y1 - 2017/12
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 - Biosensor
KW - FSCV
KW - cyclic voltammetry
KW - dopamine
KW - dual-slope ADC
KW - electrochemical sensor
KW - graphene
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U2 - 10.1109/TBCAS.2017.2778048
DO - 10.1109/TBCAS.2017.2778048
M3 - Article
C2 - 29293417
AN - SCOPUS:85038812518
SN - 1932-4545
VL - 11
SP - 1192
EP - 1203
JO - IEEE Transactions on Biomedical Circuits and Systems
JF - IEEE Transactions on Biomedical Circuits and Systems
IS - 6
M1 - 8187660
ER -