Autor según el artículo: Gonzalez, Ernesto; Casanova-Chafer, Juan; Alagh, Aanchal; Romero, Alfonso; Vilanova, Xavier; Acosta, Selene; Cossement, Damien; Bittencourt, Carla; Llobet, Eduard
Departamento: Enginyeria Electrònica, Elèctrica i Automàtica
Autor/es de la URV: Alagh, Aanchal / Casanova Chafer, Juan / GONZÁLEZ GARCÍA, ELENA / Llobet Valero, Eduard / Romero Nevado, Alfonso José / Vilanova Salas, Javier
Palabras clave: Sensor array Pulsed light modulation Performance Pcr Pca Oxide thin-films No2 Nh3 Nanoparticles Nanoneedles Growth Gas sensing Fft Fabrication Ammonia
Resumen: This paper presents a methodology to quantify oxidizing and reducing gases using n-type and p-type chemiresistive sensors, respectively. Low temperature sensor heating with pulsed UV or visible light modulation is used together with the application of the fast Fourier transform (FFT) to extract sensor response features. These features are further processed via principal component analysis (PCA) and principal component regression (PCR) for achieving gas discrimination and building concentration prediction models with R values up to 98% and RMSE values as low as 5% for the total gas concentration range studied. UV and visible light were used to study the influence of the light wavelength in the prediction model performance. We demonstrate that n-type and p-type sensors need to be used together for achieving good quantification of oxidizing and reducing species, respectively, since the semiconductor type defines the prediction model's effectiveness towards an oxidizing or reducing gas. The presented method reduces considerably the total time needed to quantify the gas concentration compared with the results obtained in a previous work. The use of visible light LEDs for performing pulsed light modulation enhances system performance and considerably reduces cost in comparison to previously reported UV light-based approaches. 2
Áreas temáticas: Zootecnia / recursos pesqueiros Química Medicine (miscellaneous) Medicina veterinaria Medicina iii Medicina ii Medicina i Materiais Matemática / probabilidade e estatística Linguística e literatura Letras / linguística Interdisciplinar Instruments & instrumentation Instrumentation Information systems Geografía Geociências Farmacia Engineering, electrical & electronic Engenharias iv Engenharias iii Engenharias ii Engenharias i Electrochemistry Electrical and electronic engineering Educação física Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Ciência da computação Chemistry, analytical Biotecnología Biodiversidade Biochemistry Atomic and molecular physics, and optics Astronomia / física Arquitetura, urbanismo e design Analytical chemistry
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: juan.casanova@urv.cat aanchal.alagh@estudiants.urv.cat aanchal.alagh@estudiants.urv.cat eduard.llobet@urv.cat xavier.vilanova@urv.cat alfonsojose.romero@urv.cat
Identificador del autor: 0000-0003-2466-8219 0000-0003-2466-8219 0000-0001-6164-4342 0000-0002-6245-7933 0000-0003-3502-0813
Fecha de alta del registro: 2024-10-12
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Sensors. 21 (11): 3736-
Referencia de l'ítem segons les normes APA: Gonzalez, Ernesto; Casanova-Chafer, Juan; Alagh, Aanchal; Romero, Alfonso; Vilanova, Xavier; Acosta, Selene; Cossement, Damien; Bittencourt, Carla; Ll (2021). On the use of pulsed uv or visible light activated gas sensing of reducing and oxidising species with wo3 and ws2 nanomaterials. Sensors, 21(11), 3736-. DOI: 10.3390/s21113736
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2021
Tipo de publicación: Journal Publications