Sensor signal processing for gravimetric chemical sensors based on a state-space model

Sensors and Actuators, B: Chemical

Volumn 144, Issue 1, 2010, Pages 27-36

  Thalmayr, Florian ^a   Fischerauer, Gerhard ^a  

^a UNIVERSITY OF BAYREUTH   (Germany)

Author keywords

Dynamic response; Gravimetric chemical sensors; QMB; SAW; State space model; Stochastic signal processing

Indexed keywords

ANALYTE GAS; ANALYTE MOLECULES; COATING THICKNESS; DIFFUSION PROCESS; DYNAMIC BEHAVIORS; GRAVIMETRIC CHEMICAL SENSORS; KALMAN-FILTERING; LINEAR STATE SPACE MODEL; MEASUREMENT TIME; NONLINEAR PROBLEMS; PHYSICAL MODEL; RESPONSE TIME; SELECTIVE COATINGS; SENSOR SIGNALS; SLOW DYNAMICS; STATE-SPACE MODEL; STATE-SPACE MODELS; STOCHASTIC SIGNAL PROCESSING; TIME CONSTANTS;

ACOUSTIC SURFACE WAVE DEVICES; CHEMICAL SENSORS; DIFFUSION COATINGS; GAS ABSORPTION; LINEARIZATION; QUARTZ CRYSTAL MICROBALANCES; SAWING; SIGNAL PROCESSING; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; THICKNESS MEASUREMENT;

DYNAMIC RESPONSE;

EID: 74149094378     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.snb.2009.10.014     Document Type: Article

References (15)

1. Sauerbrey G. "Verwendung von Schwingquarzen zur Wägung dünner Schichten und zur Mikrowägung". Zeitschrift für Physik 155 (1959) 206-222 (in German)
2. Fischerauer G. Acoustic surface wave devices. In: Göpel W., et al. (Ed). Sensors: A Comprehensive Survey vol. 8 (1995), VCH, Weinheim 135-157
3. Fischerauer G., and Dickert F. An analytic model of the dynamic response of mass-sensitive chemical sensors. Sens. Actuators B 123 2 (May) (2007) 993-1001
4. Vogt B.D., Lin E.K., Wu W.L., and White C.C. Effect of film thickness on the validity of the Sauerbrey equation for hydrated polyelectrolyte films. J. Phys. Chem. B 108 (2004) 12685-12690
5. Bartlett P.N., and Gardner J.W. Diffusion and binding of molecules to sites within homogeneous thin films. Philos. Trans. R. Soc. Lond. A 354 (1996) 35-57
6. Boeker P., Wallenfang O., and Horner G. Mechanistic model of diffusion and reaction in thin sensor layers-the DIRMAS model. Sens. Actuators B 83 March (2002) 202-208
7. Schwarz H.R., and Köckler N. Numerische Mathematik. 5th ed. (2004), Vieweg, Teubner, Stuttgart p. 341-389 (in German)
8. Unbehauen R. Systemtheorie 1. 8th ed. (2002), Oldenbourg, München pp. 445-456 (in German)
9. Manolakis D.G., Ingle V.K., and Kogon S.M. Statistical and Adaptive Signal Processing: Spectral Estimation, Signal Modeling, Adaptive Filtering and Array Processing (2000), McGraw Hill, Boston pp. 261-325
10. Lewis F.L. Optimal Estimation: With an Introduction to Stochastic Control Theory (1986), Wiley, New York pp. 33-48
11. Wolff U., Dickert F.L., Fischerauer G.K., Greibl W., and Ruppel C.C.W. SAW sensors for harsh environments. IEEE Sens. J. 1 1 (June) (2001) 57-143
12. Kalman R.E. A new approach to linear filtering and prediction problems. J. Basic Eng. 82 (1960) 35-45
13. Wolff U., Dickert F.L., Fischerauer G.K., Greibl W., and Ruppel C.C.W. SAW sensors for harsh environments. IEEE Sens. J. 1 1 (June) (2001) 4-13
14. Dickert F.L., Greibl W., Haderspöck C., Hayden O., and Rohrer A. QCM and SAW transducers allow analyte detection from nanometer- to micrometer-dimensions using imprinting techniques. Proc. IEEE Int. Freq. Control Symp. (2001) 528-533
15. Plotner M., Berger O., Stab H., Fischer W.J., König P., Beyerlein D., and Schwarz A. Miniaturized gas monitoring system employing several SAW sensors. Proc. IEEE Int. Freq. Control Symp. (2001) 520-527