TY - JOUR
T1 - Optimization of multilayer graphene-based gas sensors by ultraviolet photoactivation
AU - Peña, Álvaro
AU - Matatagui, Daniel
AU - Ricciardella, Filiberto
AU - Sacco, Leandro
AU - Vollebregt, Sten
AU - Otero, Daniel
AU - López-Sánchez, Jesús
AU - Marín, Pilar
AU - Horrillo, Mari Carmen
PY - 2023
Y1 - 2023
N2 - 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.
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.
KW - Ammonia
KW - Carbon monoxide
KW - Graphene gas sensors
KW - Limit of detection
KW - Nitrogen dioxide
KW - Ultraviolet
UR - http://www.scopus.com/inward/record.url?scp=85140980112&partnerID=8YFLogxK
U2 - 10.1016/j.apsusc.2022.155393
DO - 10.1016/j.apsusc.2022.155393
M3 - Article
AN - SCOPUS:85140980112
SN - 0169-4332
VL - 610
JO - Applied Surface Science
JF - Applied Surface Science
M1 - 155393
ER -
