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Cited by 378

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Toward Practical Gas Sensing with Highly Reduced Graphene Oxide: A New Signal Processing Method To Circumvent Run-to-Run and Device-to-Device Variations

Lu, Ganhua, Park, Sungjin, Yu, Kehan, Ruoff, Rodney S., Ocola, Leonidas E., Rosenmann, Daniel, Chen, Junhong·2011·ACS Nano

Abstract

Graphene is worth evaluating for chemical sensing and biosensing due to its outstanding physical and chemical properties. We first report on the fabrication and characterization of gas sensors using a back-gated field-effect transistor platform with chemically reduced graphene oxide (R-GO) as the conducting channel. These sensors exhibited a 360% increase in response when exposed to 100 ppm NO(2) in air, compared with thermally reduced graphene oxide sensors we reported earlier. We then present a new method of signal processing/data interpretation that addresses (i) sensing devices with long recovery periods (such as required for sensing gases with these R-GO sensors) as well as (ii) device-to-device variations. A theoretical analysis is used to illuminate the importance of using the new signal processing method when the sensing device suffers from slow recovery and non-negligible contact resistance. We suggest that the work reported here (including the sensor signal processing method and the inherent simplicity of device fabrication) is a significant step toward the real-world application of graphene-based chemical sensors.

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Metadata

Authors
Lu, G., Park, S., Yu, K., Ruoff, R. S., Ocola, L. E., Rosenmann, D., & Chen, J.
Venue
ACS Nano
Published
2011-01-04
Volume
5
Issue
2
Pages
1154-1164
ISSN
  • 1936-0851 (ISSN-L)
  • 1936-086X
OpenAlex
W1985470610
Cited by
378
References
2
FWCI
21.39
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Toward Practical Gas Sensing with Highly Reduced Graphene Oxide: A New Signal Processing Method To Circumvent Run-to-Run and Device-to-Device Variations. https://app.cochat.ai/papers/10.1021/nn102803q
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Lu, G., Park, S., Yu, K., Ruoff, R. S., Ocola, L. E., Rosenmann, D., & Chen, J. (2011). Toward Practical Gas Sensing with Highly Reduced Graphene Oxide: A New Signal Processing Method To Circumvent Run-to-Run and Device-to-Device Variations. ACS Nano. https://doi.org/10.1021/nn102803q

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