Highly selective gas sensor arrays based on thermally reduced graphene oxide

Alexey Lipatov, Alexey Varezhnikov, Peter Wilson, Victor Sysoev, Andrei Kolmakov, Alexander Sinitskii

Research output: Contribution to journalArticle

166 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)5426-5434
Number of pages9
JournalNanoscale
Volume5
Issue number12
DOIs
StatePublished - Jun 21 2013

ASJC Scopus subject areas

  • Materials Science(all)

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    Lipatov, A., Varezhnikov, A., Wilson, P., Sysoev, V., Kolmakov, A., & Sinitskii, A. (2013). Highly selective gas sensor arrays based on thermally reduced graphene oxide. Nanoscale, 5(12), 5426-5434. https://doi.org/10.1039/c3nr00747b