RT Journal Article
T1 Optimization of multilayer graphene-based gas sensors by ultraviolet photoactivation
A1 Peña Moreno, Álvaro
A1 Matatagui Cruz, Daniel
A1 Ricciardella, Filiberto
A1 Sacco, Leandro
A1 Vollebregt, Sten
A1 Otero, Daniel
A1 López Sánchez, Jesús
A1 Marín Palacios, María Pilar
A1 Horrillo, Mari Carmen
AB 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.
PB Elsevier
SN 0169-4332
YR 2022
FD 2022-11-01
LK https://hdl.handle.net/20.500.14352/72601
UL https://hdl.handle.net/20.500.14352/72601
LA eng
NO CRUE-CSIC (Acuerdos Transformativos 2022)© 2022 The Author(s).Author A. P. received funding from grant PRE2019-0875001234, Ministerio de Ciencia e Innovación (MCI), Spain. D. M. received funding from Comfuturo, Consejo Superior de Investigaciones Científicas, Spain. Authors A. P., D. M., D. O., P. M., and M- C. H. received funding from projects RTI2018-095856-B-C21 and –C22, Ministerio de Ciencia e Innovación, Spain. A. P. and P. M. received funding S2018/ NMT-4321, Comunidad de Madrid. J. L.-S. received funding from project PID2020-114192RB-C41, Ministerio de Asuntos Económicos y Transformación Digital (MINECO).
NO Ministerio de Ciencia e Innovación (MICINN)
NO Ministerio de Asuntos Económicos y Transformación Digital (MINECO)
NO Comunidad de Madrid
NO Consejo Superior de Investigaciones Científicas (CSIC)
DS Docta Complutense
RD 9 abr 2025