CO sensing with SnO2-based thick film sensors:: Surface state model for conductance responses during thermal-modulation

被引：26

作者：

Fort, A.

Rocchi, S.

Serrano-Santos, M. B.

Mugnaini, M.

Vignoli, V.

Atrei, A.

Spinicci, R.

机构：

[1] Univ Siena, Dipartimento Ingn Informaz, I-53100 Siena, Italy

[2] Univ Siena, Dipartimento Sci & Tecnol Chim & Biosistemi, I-53100 Siena, Italy

[3] Univ Florence, Dipartimento Energet, I-50139 Florence, Italy

来源：

SENSORS AND ACTUATORS B-CHEMICAL | 2006年 / 116卷 / 1-2期

关键词：

electronic nose; metal oxide sensors; temperature modulations; grey-box model; CO;

D O I：

10.1016/j.snb.2005.11.070

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

There exists a strong interest in developing simplified models able to predict the SnO2 sensor response and aiming at a better comprehension of the mechanisms involved with sensing operation. In this paper, a simple grey-box model is proposed for predicting, with a good approximation (r.m.s. error < 10%). the behavior of some commercial SnO2-based sensors in presence of oxygen and a reducing gas (CO) during fast temperature variations. Auger electron spectroscopy (AES) permitted to highlight differences in the surface composition of the sensors after extended operation time. (c) 2006 Elsevier B.V. All rights reserved.

引用

页码：43 / 48

页数：6

共 13 条

[1] Conduction model of metal oxide gas sensors [J].