TY - JOUR
T1 - Ensuring the operational health of droplet-based microelectrofluidic biosensor systems
AU - Su, Fei
AU - Ozev, Sule
AU - Chakrabarty, Krishnendu
N1 - Funding Information:
Manuscript received February 11, 2004; revised July 22, 2004. This work was supported in part by the National Science Foundation under Grant EIA-0312352. The associate editor coordinating the review of this paper and approving it for publication was Dr. William Hunt.
PY - 2005/8
Y1 - 2005/8
N2 - Recent events have heightened the need for fast, accurate, and reliable biological/chemical sensor systems for critical loca tions. As droplet-based microelectrofluidic sensor systems become widespread in these safety-critical biomedical applications, reliability emerges as a critical performance parameter. In order to ensure the operational health of such safety-critical systems, they need to be monitored for defects, not only after manufacturing, but also during in-field operation. In this paper, we present a cost-effective concurrent test methodology for droplet-based microelectrofluidic systems. We present a classification of catastrophic and parametric faults in such systems and show how faults can be detected by electrostatically controlling and tracking droplet motion. We then present a fault simulation approach based on tolerance analysis using Monte-Carlo simulation to characterize the impact of parameter variations on system performance. Finally, we present experimental results on a droplet-based microelectrofluidic system for a real-time polymerase chain reaction application.
AB - Recent events have heightened the need for fast, accurate, and reliable biological/chemical sensor systems for critical loca tions. As droplet-based microelectrofluidic sensor systems become widespread in these safety-critical biomedical applications, reliability emerges as a critical performance parameter. In order to ensure the operational health of such safety-critical systems, they need to be monitored for defects, not only after manufacturing, but also during in-field operation. In this paper, we present a cost-effective concurrent test methodology for droplet-based microelectrofluidic systems. We present a classification of catastrophic and parametric faults in such systems and show how faults can be detected by electrostatically controlling and tracking droplet motion. We then present a fault simulation approach based on tolerance analysis using Monte-Carlo simulation to characterize the impact of parameter variations on system performance. Finally, we present experimental results on a droplet-based microelectrofluidic system for a real-time polymerase chain reaction application.
KW - Microelectrofluidic biosensor systems
KW - Reliability
KW - Testing for manufacturing and operational defects
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U2 - 10.1109/JSEN.2005.848127
DO - 10.1109/JSEN.2005.848127
M3 - Article
AN - SCOPUS:23844489125
SN - 1530-437X
VL - 5
SP - 763
EP - 772
JO - IEEE Sensors Journal
JF - IEEE Sensors Journal
IS - 4
ER -