15.7 Heterogeneous integrated CMOS-graphene sensor array for dopamine detection

Bayan Nasri, Ting Wu, Abdullah Alharbi, Mayank Gupta, Ramkumar Ranjitkumar, Sunit Sebastian, Yue Wang, Roozbeh Kiani, Davood Shahrjerdi

Research output: ResearchConference contribution

Abstract

Understanding dopamine (DA) signaling in the brain is essential for advancing our knowledge of pathological disorders such as drug addiction, Parkinson's disease, and schizophrenia. Currently, fast-scan cyclic voltammetry (FSCV) with carbon microfiber (CMF) electrodes is the method of choice in neuroscience labs for monitoring the concentration of phasic (transient) DA release. This method offers sub-second temporal resolution and high specificity because the signal of interest occurs at a known potential. However, existing CMF electrodes are bulky, limiting the spatial resolution to single-site measurements. Further, they are produced through manual processes (e.g. cutting CMFs under optical microscope), thus introducing significant device variability [1]. Lastly, when long probes (3-to-5cm) are used to monitor DA release in deep brain structures of large animals, environmental noise severely diminishes the detection limit [1]. To address these problems, we combine advances in nanofabrication with silicon chip manufacturing to create a heterogeneous integrated CMOS-graphene sensor for accurate measurement of DA with high spatiotemporal resolution (Fig. 15.7.1).

LanguageEnglish (US)
Title of host publication2017 IEEE International Solid-State Circuits Conference, ISSCC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages268-269
Number of pages2
Volume60
ISBN (Electronic)9781509037575
DOIs
StatePublished - Mar 2 2017
Event64th IEEE International Solid-State Circuits Conference, ISSCC 2017 - San Francisco, United States
Duration: Feb 5 2017Feb 9 2017

Other

Other64th IEEE International Solid-State Circuits Conference, ISSCC 2017
CountryUnited States
CitySan Francisco
Period2/5/172/9/17

Fingerprint

Graphite
Sensor arrays
Dopamine
Graphene
Brain
Carbon
Electrodes
Silicon
Nanotechnology
Cyclic voltammetry
Animals
Microscopes
Monitoring
Sensors
Pharmaceutical Preparations

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

Cite this

Nasri, B., Wu, T., Alharbi, A., Gupta, M., Ranjitkumar, R., Sebastian, S., ... Shahrjerdi, D. (2017). 15.7 Heterogeneous integrated CMOS-graphene sensor array for dopamine detection. In 2017 IEEE International Solid-State Circuits Conference, ISSCC 2017 (Vol. 60, pp. 268-269). [7870364] Institute of Electrical and Electronics Engineers Inc.. DOI: 10.1109/ISSCC.2017.7870364

15.7 Heterogeneous integrated CMOS-graphene sensor array for dopamine detection. / Nasri, Bayan; Wu, Ting; Alharbi, Abdullah; Gupta, Mayank; Ranjitkumar, Ramkumar; Sebastian, Sunit; Wang, Yue; Kiani, Roozbeh; Shahrjerdi, Davood.

2017 IEEE International Solid-State Circuits Conference, ISSCC 2017. Vol. 60 Institute of Electrical and Electronics Engineers Inc., 2017. p. 268-269 7870364.

Research output: ResearchConference contribution

Nasri, B, Wu, T, Alharbi, A, Gupta, M, Ranjitkumar, R, Sebastian, S, Wang, Y, Kiani, R & Shahrjerdi, D 2017, 15.7 Heterogeneous integrated CMOS-graphene sensor array for dopamine detection. in 2017 IEEE International Solid-State Circuits Conference, ISSCC 2017. vol. 60, 7870364, Institute of Electrical and Electronics Engineers Inc., pp. 268-269, 64th IEEE International Solid-State Circuits Conference, ISSCC 2017, San Francisco, United States, 2/5/17. DOI: 10.1109/ISSCC.2017.7870364
Nasri B, Wu T, Alharbi A, Gupta M, Ranjitkumar R, Sebastian S et al. 15.7 Heterogeneous integrated CMOS-graphene sensor array for dopamine detection. In 2017 IEEE International Solid-State Circuits Conference, ISSCC 2017. Vol. 60. Institute of Electrical and Electronics Engineers Inc.2017. p. 268-269. 7870364. Available from, DOI: 10.1109/ISSCC.2017.7870364
Nasri, Bayan ; Wu, Ting ; Alharbi, Abdullah ; Gupta, Mayank ; Ranjitkumar, Ramkumar ; Sebastian, Sunit ; Wang, Yue ; Kiani, Roozbeh ; Shahrjerdi, Davood. / 15.7 Heterogeneous integrated CMOS-graphene sensor array for dopamine detection. 2017 IEEE International Solid-State Circuits Conference, ISSCC 2017. Vol. 60 Institute of Electrical and Electronics Engineers Inc., 2017. pp. 268-269
@inbook{da4dbf7b18cd426cb7c2eced998ae061,
title = "15.7 Heterogeneous integrated CMOS-graphene sensor array for dopamine detection",
abstract = "Understanding dopamine (DA) signaling in the brain is essential for advancing our knowledge of pathological disorders such as drug addiction, Parkinson's disease, and schizophrenia. Currently, fast-scan cyclic voltammetry (FSCV) with carbon microfiber (CMF) electrodes is the method of choice in neuroscience labs for monitoring the concentration of phasic (transient) DA release. This method offers sub-second temporal resolution and high specificity because the signal of interest occurs at a known potential. However, existing CMF electrodes are bulky, limiting the spatial resolution to single-site measurements. Further, they are produced through manual processes (e.g. cutting CMFs under optical microscope), thus introducing significant device variability [1]. Lastly, when long probes (3-to-5cm) are used to monitor DA release in deep brain structures of large animals, environmental noise severely diminishes the detection limit [1]. To address these problems, we combine advances in nanofabrication with silicon chip manufacturing to create a heterogeneous integrated CMOS-graphene sensor for accurate measurement of DA with high spatiotemporal resolution (Fig. 15.7.1).",
author = "Bayan Nasri and Ting Wu and Abdullah Alharbi and Mayank Gupta and Ramkumar Ranjitkumar and Sunit Sebastian and Yue Wang and Roozbeh Kiani and Davood Shahrjerdi",
year = "2017",
month = "3",
doi = "10.1109/ISSCC.2017.7870364",
volume = "60",
pages = "268--269",
booktitle = "2017 IEEE International Solid-State Circuits Conference, ISSCC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

TY - CHAP

T1 - 15.7 Heterogeneous integrated CMOS-graphene sensor array for dopamine detection

AU - Nasri,Bayan

AU - Wu,Ting

AU - Alharbi,Abdullah

AU - Gupta,Mayank

AU - Ranjitkumar,Ramkumar

AU - Sebastian,Sunit

AU - Wang,Yue

AU - Kiani,Roozbeh

AU - Shahrjerdi,Davood

PY - 2017/3/2

Y1 - 2017/3/2

N2 - Understanding dopamine (DA) signaling in the brain is essential for advancing our knowledge of pathological disorders such as drug addiction, Parkinson's disease, and schizophrenia. Currently, fast-scan cyclic voltammetry (FSCV) with carbon microfiber (CMF) electrodes is the method of choice in neuroscience labs for monitoring the concentration of phasic (transient) DA release. This method offers sub-second temporal resolution and high specificity because the signal of interest occurs at a known potential. However, existing CMF electrodes are bulky, limiting the spatial resolution to single-site measurements. Further, they are produced through manual processes (e.g. cutting CMFs under optical microscope), thus introducing significant device variability [1]. Lastly, when long probes (3-to-5cm) are used to monitor DA release in deep brain structures of large animals, environmental noise severely diminishes the detection limit [1]. To address these problems, we combine advances in nanofabrication with silicon chip manufacturing to create a heterogeneous integrated CMOS-graphene sensor for accurate measurement of DA with high spatiotemporal resolution (Fig. 15.7.1).

AB - Understanding dopamine (DA) signaling in the brain is essential for advancing our knowledge of pathological disorders such as drug addiction, Parkinson's disease, and schizophrenia. Currently, fast-scan cyclic voltammetry (FSCV) with carbon microfiber (CMF) electrodes is the method of choice in neuroscience labs for monitoring the concentration of phasic (transient) DA release. This method offers sub-second temporal resolution and high specificity because the signal of interest occurs at a known potential. However, existing CMF electrodes are bulky, limiting the spatial resolution to single-site measurements. Further, they are produced through manual processes (e.g. cutting CMFs under optical microscope), thus introducing significant device variability [1]. Lastly, when long probes (3-to-5cm) are used to monitor DA release in deep brain structures of large animals, environmental noise severely diminishes the detection limit [1]. To address these problems, we combine advances in nanofabrication with silicon chip manufacturing to create a heterogeneous integrated CMOS-graphene sensor for accurate measurement of DA with high spatiotemporal resolution (Fig. 15.7.1).

UR - http://www.scopus.com/inward/record.url?scp=85016258403&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85016258403&partnerID=8YFLogxK

U2 - 10.1109/ISSCC.2017.7870364

DO - 10.1109/ISSCC.2017.7870364

M3 - Conference contribution

VL - 60

SP - 268

EP - 269

BT - 2017 IEEE International Solid-State Circuits Conference, ISSCC 2017

PB - Institute of Electrical and Electronics Engineers Inc.

ER -