TY - JOUR
T1 - Highly selective gas sensor arrays based on thermally reduced graphene oxide
AU - Lipatov, Alexey
AU - Varezhnikov, Alexey
AU - Wilson, Peter
AU - Sysoev, Victor
AU - Kolmakov, Andrei
AU - Sinitskii, Alexander
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2013/6/21
Y1 - 2013/6/21
N2 - The electrical properties of reduced graphene oxide (rGO) have been previously shown to be very sensitive to surface adsorbates, thus making rGO a very promising platform for highly sensitive gas sensors. However, poor selectivity of rGO-based gas sensors remains a major problem for their practical use. In this paper, we address the selectivity problem by employing an array of rGO-based integrated sensors instead of focusing on the performance of a single sensing element. Each rGO-based device in such an array has a unique sensor response due to the irregular structure of rGO films at different levels of organization, ranging from nanoscale to macroscale. The resulting rGO-based gas sensing system could reliably recognize analytes of nearly the same chemical nature. In our experiments rGO-based sensor arrays demonstrated a high selectivity that was sufficient to discriminate between different alcohols, such as methanol, ethanol and isopropanol, at a 100% success rate. We also discuss a possible sensing mechanism that provides the basis for analyte differentiation.
AB - The electrical properties of reduced graphene oxide (rGO) have been previously shown to be very sensitive to surface adsorbates, thus making rGO a very promising platform for highly sensitive gas sensors. However, poor selectivity of rGO-based gas sensors remains a major problem for their practical use. In this paper, we address the selectivity problem by employing an array of rGO-based integrated sensors instead of focusing on the performance of a single sensing element. Each rGO-based device in such an array has a unique sensor response due to the irregular structure of rGO films at different levels of organization, ranging from nanoscale to macroscale. The resulting rGO-based gas sensing system could reliably recognize analytes of nearly the same chemical nature. In our experiments rGO-based sensor arrays demonstrated a high selectivity that was sufficient to discriminate between different alcohols, such as methanol, ethanol and isopropanol, at a 100% success rate. We also discuss a possible sensing mechanism that provides the basis for analyte differentiation.
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U2 - 10.1039/c3nr00747b
DO - 10.1039/c3nr00747b
M3 - Article
C2 - 23661278
AN - SCOPUS:84878699763
VL - 5
SP - 5426
EP - 5434
JO - Nanoscale
JF - Nanoscale
SN - 2040-3364
IS - 12
ER -