Metal oxide gas sensors (MOXs) are widely used in olfactory electronic systems for their high sensitivity and low-cost. These sensors modify their conductivity in presence of oxidizing and reducing gases, and their performance is strictly dependent on the measurement technique adopted. In particular, it was already established by many works that a noticeable improvement in selectivity can be obtained by operating MOXs with a variable temperature. The temperature profile, however, must be tailored to the specific application, and the shape of the “optimum” pro- file for a given application depends both on the specific sensor and on the tested chemicals. In this context, there exists a strong interest in developing simplified models able to predict the sensor response, and aiming at a better comprehension of the mechanisms involved in sensing operations. In this paper, three simple gray-box models able to predict the behavior of some commercial thick film SnO2-based sensors in presence of oxygen and a reducing gas (CO) are proposed and discussed, whereas in a second paper the experimental validation of the model is presented.

Fort, A., Rocchi, S., SERRANO SANTOS, M.B., Spinicci, R., & Vignoli, V. (2006). Surface State Model for Conductance Responses During Thermal-Modulation of SnO2-Based Thick Film Sensors: Part I—Model Derivation. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 55(6), 2102-2106 [10.1109/TIM.2006.887118].

Surface State Model for Conductance Responses During Thermal-Modulation of SnO2-Based Thick Film Sensors: Part I—Model Derivation

FORT, ADA;ROCCHI, SANTINA;VIGNOLI, VALERIO
2006

Abstract

Metal oxide gas sensors (MOXs) are widely used in olfactory electronic systems for their high sensitivity and low-cost. These sensors modify their conductivity in presence of oxidizing and reducing gases, and their performance is strictly dependent on the measurement technique adopted. In particular, it was already established by many works that a noticeable improvement in selectivity can be obtained by operating MOXs with a variable temperature. The temperature profile, however, must be tailored to the specific application, and the shape of the “optimum” pro- file for a given application depends both on the specific sensor and on the tested chemicals. In this context, there exists a strong interest in developing simplified models able to predict the sensor response, and aiming at a better comprehension of the mechanisms involved in sensing operations. In this paper, three simple gray-box models able to predict the behavior of some commercial thick film SnO2-based sensors in presence of oxygen and a reducing gas (CO) are proposed and discussed, whereas in a second paper the experimental validation of the model is presented.
File in questo prodotto:
File Dimensione Formato  
J28.pdf

non disponibili

Tipologia: Post-print
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 471.99 kB
Formato Adobe PDF
471.99 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11365/21487
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo