Optimization of multilayer graphene-based gas sensors by ultraviolet photoactivation
Álvaro Peña (UCM-ADIF)
Daniel Matatagui (UCM-ADIF, Instituto de Tecnologías Físicas y de la Información - CSIC, Universidad Complutense de Madrid)
Filiberto Ricciardella (TU Delft - Electronic Instrumentation)
Leandro Sacco (TU Delft - Electronic Components, Technology and Materials)
Sten Vollebregt (TU Delft - Electronic Components, Technology and Materials)
Daniel Otero (UCM-ADIF)
Jesús López-Sánchez (CSIC - Instituto de Ceramica y Vidrio (ICV))
Pilar Marín (Universidad Complutense de Madrid, UCM-ADIF)
Mari Carmen Horrillo (Instituto de Tecnologías Físicas y de la Información - CSIC)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
Nitrogen dioxide (NO2) is a potential hazard to human health at low concentrations, below one part per million (ppm). NO2 can be monitored using gas sensors based on multi-layered graphene operating at ambient temperature. However, reliable detection of concentrations on the order of parts per million and lower is hindered by partial recovery and lack of reproducibility of the sensors after exposure. We show how to overcome these longstanding problems using ultraviolet (UV) light. When exposed to NO2, the sensor response is enhanced by 290 % − 550 % under a 275 nm wavelength light emitting diode irradiation. Furthermore, the sensor's initial state is completely restored after exposure to the target gas. UV irradiation at 68 W/m2 reduces the NO2 detection limit to 30 parts per billion (ppb) at room temperature. We investigated sensor performance optimization for UV irradiation with different power densities and target gases, such as carbon oxide and ammonia. Improved sensitivity, recovery, and reproducibility of UV-assisted graphene-based gas sensors make them suitable for widespread environmental applications.