Autor segons l'article: Behi, Syrine; Casanova-Chafer, Juan; Gonzalez, Ernesto; Bohli, Nadra; Llobet, Eduard; Abdelghani, Adnane
Departament: Enginyeria Electrònica, Elèctrica i Automàtica
Autor/s de la URV: Casanova Chafer, Juan / GONZÁLEZ GARCÍA, ELENA / Llobet Valero, Eduard
Paraules clau: Sensor array Nitrogen-dioxide Metal nanoparticle Graphene Gas sensing Carbon nanotubes vapor sensor array no2 nanotubes nanomaterials metal nanoparticle graphene gas sensing carbon nanotubes
Resum: Many research works report a sensitive detection of a wide variety of gas species. However, their in-lab detection is usually performed by using single gases and, therefore, selectivity often remains an unsolved issue. This paper reports a four-sensor array employing different nano-carbon sensitive layers (bare graphene, SnO2@Graphene, WO3@Graphene, and Au@CNTs). The different gas-sensitive films were characterised via several techniques such as FESEM, TEM, and Raman. First, an extensive study was performed to detect isolated NO2, CO2, and NH3 molecules, unravelling the sensing mechanism at the operating temperatures applied. Besides, the effect of the ambient moisture was also evaluated. Afterwards, a model for target gas identification and concentration prediction was developed. Indeed, the sensor array was used in mixtures of NO2 and CO2 for studying the cross-sensitivity and developing a calibration model. As a result, the NO2 detection with different background levels of CO2 was achieved with an R2 of 0.987 and an RMSE of about 22 ppb.© 2022 IOP Publishing Ltd.
Àrees temàtiques: Química Physics, applied Odontología Nanoscience and nanotechnology Nanoscience & nanotechnology Medicina veterinaria Medicina ii Medicina i Mechanics of materials Mechanical engineering Materials science, multidisciplinary Materials science (miscellaneous) Materials science (all) Materials science Materiais Matemática / probabilidade e estatística Interdisciplinar General medicine General materials science General chemistry Farmacia Ensino Engineering, multidisciplinary Engineering Engenharias iv Engenharias iii Engenharias ii Engenharias i Electrical and electronic engineering Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências agrárias i Chemistry (miscellaneous) Chemistry (all) Biotecnología Bioengineering Astronomia / física Antropologia / arqueologia
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: juan.casanova@urv.cat eduard.llobet@urv.cat
Identificador de l'autor: 0000-0001-6164-4342
Data d'alta del registre: 2024-10-12
Versió de l'article dipositat: info:eu-repo/semantics/acceptedVersion
Enllaç font original: https://iopscience.iop.org/article/10.1088/1361-6528/ac4e43/pdf
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Nanotechnology. 33 (19): 195501-
Referència de l'ítem segons les normes APA: Behi, Syrine; Casanova-Chafer, Juan; Gonzalez, Ernesto; Bohli, Nadra; Llobet, Eduard; Abdelghani, Adnane (2022). Metal loaded nano-carbon gas sensor array for pollutant detection. Nanotechnology, 33(19), 195501-. DOI: 10.1088/1361-6528/ac4e43
DOI de l'article: 10.1088/1361-6528/ac4e43
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2022
Tipus de publicació: Journal Publications