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Peña Moreno, Álvaro and Matatagui Cruz, Daniel and Ricciardella, Filiberto and Sacco, Leandro and Vollebregt, Sten and Otero, Daniel and López Sánchez, Jesús and Marín Palacios, Pilar and Horrillo, Mari Carmen (2022) Optimization of multilayer graphene-based gas sensors by ultraviolet photoactivation. Applied Surface Science, 610 . p. 155393. ISSN 0169-4332
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Official URL: https://doi.org/10.1016/j.apsusc.2022.155393
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.
Item Type: | Article |
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Additional Information: | CRUE-CSIC (Acuerdos Transformativos 2022) © 2022 The Author(s). |
Uncontrolled Keywords: | Graphene gas sensors; Ultraviolet; Nitrogen dioxide; Limit of detection; Ammonia; Carbon monoxide |
Subjects: | Sciences > Physics > Materials |
ID Code: | 75412 |
Deposited On: | 07 Nov 2022 13:03 |
Last Modified: | 01 Dec 2022 19:44 |
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