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 journalArticlepeer-review

268 Scopus citations


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
Issue number12
StatePublished - Jun 21 2013

ASJC Scopus subject areas

  • General Materials Science


Dive into the research topics of 'Highly selective gas sensor arrays based on thermally reduced graphene oxide'. Together they form a unique fingerprint.

Cite this