Surface state model for conductance responses during thermal-modulation of SnO2-based thick film sensors:: Part I -: Model derivation

被引:30
作者
Fort, Ada [1 ]
Rocchi, Santina
Serrano-Santos, M. Belen
Spinicci, Roberto
Vignoli, Valerio
机构
[1] Univ Siena, Dept Informat Engn, I-53100 Siena, Italy
[2] Univ Florence, Dipartimento Energet, I-50139 Florence, Italy
关键词
electronic nose; metal oxide sensors; parametric model; temperature modulation; tin oxide thick film sensors;
D O I
10.1109/TIM.2006.887118
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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" profile 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.
引用
收藏
页码:2102 / 2106
页数:5
相关论文
共 17 条
[1]   Conduction model of metal oxide gas sensors [J].
Barsan, N ;
Weimar, U .
JOURNAL OF ELECTROCERAMICS, 2001, 7 (03) :143-167
[2]  
Bârsan N, 2003, J PHYS-CONDENS MAT, V15, pR813, DOI 10.1088/0953-8984/15/20/201
[3]   Simulation of thin film gas sensors kinetics [J].
Brynzari, V ;
Korotchenkov, G ;
Dmitriev, S .
SENSORS AND ACTUATORS B-CHEMICAL, 1999, 61 (1-3) :143-153
[4]   Temperature profile investigation of SnO2 sensors for CO detection enhancement [J].
Burresi, A ;
Fort, A ;
Rocchi, S ;
Santos, MBS ;
Ulivieri, N ;
Vignoli, V .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2005, 54 (01) :79-86
[5]   Optimized temperature-pulse sequences for the enhancement of chemically specific response patterns from micro-hotplate gas sensors [J].
Cavicchi, RE ;
Suehle, JS ;
Kreider, KG ;
Gaitan, M ;
Chaparala, P .
SENSORS AND ACTUATORS B-CHEMICAL, 1996, 33 (1-3) :142-146
[6]   Surface state trapping models for SnO2-based microhotplate sensors [J].
Ding, JH ;
McAvoy, TJ ;
Cavicchi, RE ;
Semancik, S .
SENSORS AND ACTUATORS B-CHEMICAL, 2001, 77 (03) :597-613
[7]   Identifying patient preferences for communicating risk estimates: A descriptive pilot study [J].
Jennifer M Fortin ;
Linda K Hirota ;
Barbara E Bond ;
Annette M O'Connor ;
Nananda F Col .
BMC Medical Informatics and Decision Making, 1 (1)
[8]   Adsorption-desorption noise in gas sensors: Modelling using Langmuir and Wolkenstein models for adsorption [J].
Gomri, S ;
Seguin, JL ;
Guerin, J ;
Aguir, K .
SENSORS AND ACTUATORS B-CHEMICAL, 2006, 114 (01) :451-459
[9]   CO sensing with SnO2 thick film sensors:: role of oxygen and water vapour [J].
Hahn, SH ;
Bârsan, N ;
Weimar, U ;
Ejakov, SG ;
Visser, JH ;
Soltis, RE .
THIN SOLID FILMS, 2003, 436 (01) :17-24
[10]   Gas identification by modulating temperatures of SnO2-based thick film sensors [J].
Heilig, A ;
Barsan, N ;
Weimar, U ;
Schweizer-Berberich, M ;
Gardner, JW ;
Gopel, W .
SENSORS AND ACTUATORS B-CHEMICAL, 1997, 43 (1-3) :45-51