DocumentCode
1895594
Title
Finite Element modeling of hexagonal surface acoustic wave biosensor based on LiTaO3
Author
Sankaranarayanan, Subramanian K R S ; Cular, Stefan ; Bhethanabotla, Venkat R.
Author_Institution
Dept. of Chem. & Biomed. Eng., Univ. of South Florida, Tampa, FL
fYear
2008
fDate
26-29 Oct. 2008
Firstpage
514
Lastpage
517
Abstract
The main advantage of numerical methods such as Finite Elements (FE) in modeling surface acoustic wave (SAW) devices lies in their ability to model devices involving complicated transducer geometries. We present a 3-D finite element model of a novel hexagonal SAW biosensor based on LiTaO3 substrate. This SAW biosensor involves the use of one delay path for biological species detection whereas the other delay paths are used to simultaneously remove the non-specifically bound proteins using the acoustic streaming phenomenon, thus eliminating biofouling issues associated with other biosensors. Prior to this biosensor fabrication on any piezoelectric substrate, it is important to establish the type of waves that are generated along the various delay paths. The choice of a delay path for sensing and simultaneous cleaning application depends on the propagation characteristics of the wave generated along the crystal cut and orientation corresponding to that delay path. The frequency response as well as wave propagation characteristics along the delay path corresponding to crystal orientation with on-axis propagation along 36deg YX LiTaO3 substrate are analyzed using a coupled field FE model. Similar analysis is extended to the off-axis propagation directions corresponding to Euler rotations by 60deg and -60deg along the x-z plane. Our findings indicate that the on-axis direction with a significant surface shear horizontal (SH) component should be employed for biological species detection whereas the off-axis directions having mixed modes with a dominant Rayleigh wave component are most suitable for simultaneous cleaning or removal application.
Keywords
biosensors; finite element analysis; lithium compounds; piezoelectric materials; surface acoustic wave sensors; 3D finite element model; LiTaO3; Rayleigh wave component; acoustic streaming phenomenon; biofouling; hexagonal surface acoustic wave biosensor; off-axis propagation; piezoelectric substrate; surface shear horizontal component; Acoustic transducers; Acoustic waves; Biological system modeling; Biosensors; Cleaning; Finite element methods; Propagation delay; Solid modeling; Surface acoustic wave devices; Surface acoustic waves; Biosensors; Finite element method; Lithium tantalate; SAW;
fLanguage
English
Publisher
ieee
Conference_Titel
Sensors, 2008 IEEE
Conference_Location
Lecce
ISSN
1930-0395
Print_ISBN
978-1-4244-2580-8
Electronic_ISBN
1930-0395
Type
conf
DOI
10.1109/ICSENS.2008.4716490
Filename
4716490
Link To Document