Acetone sensing using graphene quantum capacitance varactors

Rui Ma; Qun Su; Jing Li; Steven J. Koester

doi:10.1109/ICSENS.2016.7808671

Acetone sensing using graphene quantum capacitance varactors

Rui Ma, Qun Su, Jing Li, Steven J. Koester

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

Sensing of acetone using the quantum capacitance in graphene is demonstrated. The sensor was constructed by using graphene as the top electrode in a metal-oxide-graphene variable capacitor (varactor) structure. The relative capacitance change was found to vary with acetone concentration with a relative capacitance sensitivity, ΔC/C of 1.29 ± 0.04 × 10^-4 % / ppmv. The sensor was also found to have 3x enhanced sensitivity in dry air compared to N₂ and showed excellent reversibility. The results represent the first step toward the realization of passive, wireless acetone sensors using graphene varactors.

Original language	English (US)
Title of host publication	IEEE Sensors, SENSORS 2016 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479982875
DOIs	https://doi.org/10.1109/ICSENS.2016.7808671
State	Published - Jan 5 2016
Event	15th IEEE Sensors Conference, SENSORS 2016 - Orlando, United States Duration: Oct 30 2016 → Nov 2 2016

Publication series

Name	Proceedings of IEEE Sensors
Volume	0
ISSN (Print)	1930-0395
ISSN (Electronic)	2168-9229

Other

Other	15th IEEE Sensors Conference, SENSORS 2016
Country/Territory	United States
City	Orlando
Period	10/30/16 → 11/2/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

acetone
graphene
quantum capacitance
varactor

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10.1109/ICSENS.2016.7808671

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Ma, R, Su, Q, Li, J & Koester, SJ 2016, Acetone sensing using graphene quantum capacitance varactors. in IEEE Sensors, SENSORS 2016 - Proceedings., 7808671, Proceedings of IEEE Sensors, vol. 0, Institute of Electrical and Electronics Engineers Inc., 15th IEEE Sensors Conference, SENSORS 2016, Orlando, United States, 10/30/16. https://doi.org/10.1109/ICSENS.2016.7808671

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abstract = "Sensing of acetone using the quantum capacitance in graphene is demonstrated. The sensor was constructed by using graphene as the top electrode in a metal-oxide-graphene variable capacitor (varactor) structure. The relative capacitance change was found to vary with acetone concentration with a relative capacitance sensitivity, ΔC/C of 1.29 ± 0.04 × 10-4 % / ppmv. The sensor was also found to have 3x enhanced sensitivity in dry air compared to N2 and showed excellent reversibility. The results represent the first step toward the realization of passive, wireless acetone sensors using graphene varactors.",

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N2 - Sensing of acetone using the quantum capacitance in graphene is demonstrated. The sensor was constructed by using graphene as the top electrode in a metal-oxide-graphene variable capacitor (varactor) structure. The relative capacitance change was found to vary with acetone concentration with a relative capacitance sensitivity, ΔC/C of 1.29 ± 0.04 × 10-4 % / ppmv. The sensor was also found to have 3x enhanced sensitivity in dry air compared to N2 and showed excellent reversibility. The results represent the first step toward the realization of passive, wireless acetone sensors using graphene varactors.

AB - Sensing of acetone using the quantum capacitance in graphene is demonstrated. The sensor was constructed by using graphene as the top electrode in a metal-oxide-graphene variable capacitor (varactor) structure. The relative capacitance change was found to vary with acetone concentration with a relative capacitance sensitivity, ΔC/C of 1.29 ± 0.04 × 10-4 % / ppmv. The sensor was also found to have 3x enhanced sensitivity in dry air compared to N2 and showed excellent reversibility. The results represent the first step toward the realization of passive, wireless acetone sensors using graphene varactors.

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M3 - Conference contribution

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Acetone sensing using graphene quantum capacitance varactors

Abstract

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