DocumentCode
2132459
Title
CMOS capactive sensor system for bacteria detection using phage organisms
Author
Yao, Lei ; Hajj-Hassan, Mohamad ; Ghafar-Zadeh, Ebrahim ; Shabani, Arghavan ; Chodavarapu, Vamsy ; Zourob, Mohammed
Author_Institution
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC
fYear
2008
fDate
4-7 May 2008
Abstract
The paper presents the design and implementation of a complementary metal-oxide semiconductor (CMOS) based integrated sensor system employing bacteriophage or phage organisms as recognition elements to detect deadly bacteria such as E-Coli and Salmonella. The system works on the basis of monitoring the changes in capacitance signals caused when the target bacteria get attached to the sensing interface. The system is designed using DALSA 0.8 mum technology and it consists of inter-digitized capacitor structures and signal detection and processing circuitry. The signal detection and processing is done by a charge based capacitance measurement (CBCM) circuit. The phage organisms are immobilized on the surface of the capacitor and together they form the sensing interface. We achieve a sensitivity of 29.3 mV/fF for the CMOS capacitive sensing interface, which corresponds to detecting infectious dose for the target bacteria. The system operates on a 5V DC supply and is estimated to consume an average power of 1.7 mW.
Keywords
CMOS integrated circuits; biosensors; capacitive sensors; microorganisms; signal detection; CMOS capacitive sensor system; DALSA technology; E-Coli; Salmonella; bacteria detection; bacteriophage; charge based capacitance measurement circuit; complementary metal-oxide semiconductor; integrated sensor system; inter-digitized capacitor structures; phage organisms; signal detection; Capacitance; Capacitors; Circuits; MOS devices; Microorganisms; Monitoring; Organisms; Sensor systems; Signal design; Signal detection; CMOS; E-coli; Salmonella; bacteria sensor; bacteriophage; biosensor; capacitance sensing;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 2008. CCECE 2008. Canadian Conference on
Conference_Location
Niagara Falls, ON
ISSN
0840-7789
Print_ISBN
978-1-4244-1642-4
Electronic_ISBN
0840-7789
Type
conf
DOI
10.1109/CCECE.2008.4564661
Filename
4564661
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