Share Email Print
cover

Proceedings Paper

Microfluidic biosensors for intelligent metabolite monitoring
Author(s): Nitin Radhakrishnan; Jongwon Park; Chang-Soo Kim
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

We present an intelligent microfluidic system with oxidase enzyme coupled biosensors. Baseline (zero-value) drift and sensitivity degradation are two common problems related with biosensors. In order to overcome these problems there is a great need for integrating an on-demand, in situ self-diagnosis and self-calibration unit along with the sensor. Utilizing the microfluidic technology, we explore the feasibility of implementing this function without any externally coupled bulky apparatus. A microsystem including a microfluidic channel and calibration electrodes are prepared by microfabrication techniques. A novel method of using hydrogen and oxygen bubbles generated by electrolysis of water is used to saturate the solution with these gases in the microfluidic channel where the biosensor is placed. The hydrogen bubble provides oxygen-depleted microenvironment to conduct a zero-value calibration procedure for the sensor. The oxygen bubble provides high sensitivity and constant oxygen background environment to allow stable enzyme reactions that is not limited or perturbed by the fluctuation of background oxygen in sample solutions. Commercial oxygen sensors and pH sensors are used to confirm whether saturation or depletion of oxygen has occurred with minimum local pH change near the sensor during the electrolytic bubble generation. The glucose data obtained from the experiments assure that our proposed method is promising to overcome the above mentioned two problems.

Paper Details

Date Published: 5 October 2007
PDF: 8 pages
Proc. SPIE 6759, Smart Biomedical and Physiological Sensor Technology V, 67590U (5 October 2007); doi: 10.1117/12.737092
Show Author Affiliations
Nitin Radhakrishnan, Univ. of Missouri/Rolla (United States)
Jongwon Park, Univ. of Missouri/Rolla (United States)
Chang-Soo Kim, Univ. of Missouri/Rolla (United States)


Published in SPIE Proceedings Vol. 6759:
Smart Biomedical and Physiological Sensor Technology V
Brian M. Cullum; D. Marshall Porterfield, Editor(s)

© SPIE. Terms of Use
Back to Top