DocumentCode :
846689
Title :
Capacitive Transduction for Liquid Crystal Based Sensors, Part II: Partially Disordered System
Author :
Abu-Abed, Alaeddin S. ; Lindquist, Robert G.
Author_Institution :
Dept. of Electr. & Comput. Eng., Alabama Univ., Huntsville, AL
Volume :
8
Issue :
9
fYear :
2008
Firstpage :
1557
Lastpage :
1564
Abstract :
This paper presents the capacitive transduction technique involved with liquid crystal (LC) based sensors in partially disordered systems. These sensors have the potential applications in chemical and biological systems. The theory for tracking the average molecular deformation (state of alignment) and degree of ordering of anisotropic and partially disordered LC film via capacitive sensing is investigated. This system is modeled using the Q-tensor approach in modeling uniaxial LC material. The proposed sensor design is an interdigitated electrodes structure. Transverse and fringing capacitances as function of the molecular deformation are calculated. It is verified that three capacitance measurements are required to track the average molecular orientation and the degree of disorder in the LC film. The sensitivity for the sensor at different alignments and ordering degree is also studied. Toward practical sensor, neuro-fuzzy system is modeled to simulate the capacitive transduction and to monitor the LC profile. Sensors are fabricated and tested. Both the experimental and calculated capacitances are presented and compared.
Keywords :
biology computing; biosensors; capacitance measurement; capacitive sensors; chemical sensors; fuzzy reasoning; liquid crystal devices; molecular orientation; Q-tensor approach; adaptive neuro-fuzzy inference systems; average molecular deformation; average molecular orientation; biosensors; capacitance measurements; capacitive sensor; capacitive transduction; capacitive transduction technique; chemical systems; fringing capacitances; liquid crystal based sensors; partially disordered LC film; partially disordered system; sensor fabrication; transverse capacitances; Anisotropic magnetoresistance; Biological system modeling; Biological systems; Biosensors; Capacitance; Capacitive sensors; Chemical and biological sensors; Liquid crystals; Sensor systems; Sensor systems and applications; Biosensors; capacitive sensing; chemical sensors; liquid crystal (LC); neuro-fuzzy;
fLanguage :
English
Journal_Title :
Sensors Journal, IEEE
Publisher :
ieee
ISSN :
1530-437X
Type :
jour
DOI :
10.1109/JSEN.2008.925451
Filename :
4608837
Link To Document :
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