DocumentCode :
2153468
Title :
Optimization of Fabrication Process for a PDMS-SOG-Silicon Based PCR Micro Chip through System Identification Techniques
Author :
Korampally, Venumadhav ; Bhattacharya, Shantanu ; Gao, Yuanfang ; Grant, Sheila A. ; Kleiboeker, Steven B. ; Gangopadhyay, Keshab ; Tan, Jinglu ; Gangopadhyay, Shubhra
Author_Institution :
Dept. of Electr. Eng., Missouri Univ., Columbia, MO
fYear :
0
fDate :
0-0 0
Firstpage :
329
Lastpage :
334
Abstract :
A polymerase chain reaction (PCR) micro-chip with integrated thin film heaters and temperature detectors has been realized on a silicon-SOG-PDMS (poly-di(methyl) siloxane) platform. Accurate temperature sensing and control is important for a PCR reaction. This precludes the placement of the temperature sensor anywhere else but within the PCR chamber which can, in certain microchip designs complicate the fabrication methodology. This paper presents the design and optimal placement of a thin film resistance based temperature detector (RTD) for sensing of temperature response on the bottom of the chip (heater side) and predicting the temperature response on the top of the chip (PCR chamber side). Thermal modeling of the system has been performed using a parametric black-box approach based on the input-output data. From the steady state response of the system, pseudo random binary sequences (PRBS) have been generated and used to excite it. Second and fourth order ARX (auto regressive with exogenous inputs) models have been derived for optimal control and their performances have been compared. Reduction of fabrication complexity in regards to optimal placement of temperature sensor has been proposed
Keywords :
autoregressive processes; binary sequences; bioMEMS; elemental semiconductors; microsensors; optimisation; polymers; silicon; temperature control; temperature sensors; PDMS-SOG-silicon based PCR micro chip; Si; autoregressive model; exogenous input models; fabrication complexity; fabrication process; integrated thin film heaters; optimization; parametric black-box approach; poly-di(methyl) siloxane; polymerase chain reaction; pseudo random binary sequences; system identification techniques; temperature control; temperature sensing; thermal modeling; thin film resistance-based temperature detector; Detectors; Fabrication; Polymer films; Resistance heating; Semiconductor thin films; Steady-state; System identification; Temperature control; Temperature sensors; Transistors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Based Medical Systems, 2006. CBMS 2006. 19th IEEE International Symposium on
Conference_Location :
Salt Lake City, UT
ISSN :
1063-7125
Print_ISBN :
0-7695-2517-1
Type :
conf
DOI :
10.1109/CBMS.2006.125
Filename :
1647590
Link To Document :
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