Autor según el artículo: Gonzalez, Ernesto; Llobet, Eduard; Romero, Alfonso; Vilanova, Xavier
Departamento: Enginyeria Electrònica, Elèctrica i Automàtica
Autor/es de la URV: Gonzalez Fernandez, Ernesto / Llobet Valero, Eduard / Romero Nevado, Alfonso José / Vilanova Salas, Javier
Palabras clave: Pulsed uv light Gas sensing Chemical sensor Calibration model
Resumen: © 2001-2012 IEEE. Metal Oxide Semiconductor gas sensors have been recently temperature modulated, and UV light activated to improve their sensitivity and selectivity. In this work, we present the first known development of calibration models, using pulsed UV light modulation for WO 3 based gas sensing. Partial Least Squares Regression (PLSR) and Principal Component Regression (PCR) methods have been developed using components from the FFT analysis of the DC resistance signal of the sensor. The use of pulsed UV light, combined with low-temperature activation allowed a significant reduction in power consumption as compared to the high operating temperature traditionally used with Metal Oxide non-MEMs-based sensors. The methodology proposed in this study allows diminishing the time necessary to determine the concentration, with the reduction of the pulsed UV light period, and the number of pulses used for this purpose, in respect to the use of resistance rate analysis, as proposed by other authors. The FFT analysis made before performing the linear regression methods allows the diminution of the prediction error from the models, as compared to the rate analysis. These advantages present a progress over the analysis of the rates from the resistance signal, recently presented by other authors. The correct performance of the presented procedure, working with NO 2 concentrations under harmful exposure limits, opens the opportunity of using this methodology in real air quality applications.
Áreas temáticas: Química Physics, applied Nutrição Medicina veterinaria Medicina ii Materiais Matemática / probabilidade e estatística Interdisciplinar Instruments & instrumentation Instrumentation Engineering, electrical & electronic Engenharias iv Engenharias iii Engenharias ii Engenharias i Electrical and electronic engineering Ciências biológicas ii Ciências biológicas i Ciência da computação Biotecnología Astronomia / física
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 1530-437X
Direcció de correo del autor: eduard.llobet@urv.cat xavier.vilanova@urv.cat alfonsojose.romero@urv.cat
Identificador del autor: 0000-0001-6164-4342 0000-0002-6245-7933 0000-0003-3502-0813
Fecha de alta del registro: 2024-10-12
Volumen de revista: 20
Versión del articulo depositado: info:eu-repo/semantics/acceptedVersion
Enlace a la fuente original: https://ieeexplore.ieee.org/document/8844733
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Ieee Sensors Journal. 20 (1): 397-404
Referencia de l'ítem segons les normes APA: Gonzalez, Ernesto; Llobet, Eduard; Romero, Alfonso; Vilanova, Xavier (2020). A new approach to NO2 Gas sensing based on Pulsed UV light and FFT analysis using MOX sensors. Ieee Sensors Journal, 20(1), 397-404. DOI: 10.1109/JSEN.2019.2942490
DOI del artículo: 10.1109/JSEN.2019.2942490
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2020
Tipo de publicación: Journal Publications