Share Email Print
cover

Proceedings Paper

A microfluidic platform with a flow-balanced fluidic network for osteoarthritis diagnosis
Author(s): Kangil Kim; Yoo Min Park; Hyun C. Yoon; Sang Sik Yang
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

Osteoarthritis (OA) is one of the most common human diseases, and the occurrence of OA is likely to increase with the increase of population ages. The diagnosis of OA is based on patientrelevant measures, structural measures, and measurement of biomarkers that are released through joint metabolism. Traditionally, radiography or magnetic resonance imaging (MRI) is used to diagnose OA and predict its course. However, diagnostic imaging in OA provides only indirect information on pathology and treatment response. A sensing of OA based on the detection of biomarkers insignificantly improves the accuracy and sensitivity of diagnosis and reduces the cost compared with that of radiography or MRI. In our former study, we proposed microfluidic platform to detect biomarker of OA. But the platform can detect only one biomarker because it has one microfluidic channel. In this report, we proposes microfluidic platform that can detect several biomarkers. The proposed platform has three layers. The bottom layer has gold patterns on a Si substrate for optical sensing. The middle layer and top layer were fabricated by polydimethysiloxane (PDMS) using soft-lithography. The middle layer has four channels connecting top layer to bottom layer. The top layer consists of one sample injection inlet, and four antibody injection inlets. To this end, we designed a flow-balanced microfluidic network using analogy between electric and hydraulic systems. Also, the designed microfluidic network was confirmed by finite element model (FEM) analysis using COMSOL FEMLAB. To verify the efficiency of fabricated platform, the optical sensing test was performed to detect biomarker of OA using fluorescence microscope. We used cartilage oligomeric matrix protein (COMP) as biomarker because it reflects specific changes in joint tissues. The platform successfully detected various concentration of COMP (0, 100, 500, 1000 ng/ml) at each chamber. The effectiveness of the microfluidic platform was verified computationally and experimentally.

Paper Details

Date Published: 3 May 2013
PDF: 7 pages
Proc. SPIE 8774, Optical Sensors 2013, 877410 (3 May 2013); doi: 10.1117/12.2017938
Show Author Affiliations
Kangil Kim, Ajou Univ. (Korea, Republic of)
Yoo Min Park, Ajou Univ. (Korea, Republic of)
Hyun C. Yoon, Ajou Univ. (Korea, Republic of)
Sang Sik Yang, Ajou Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 8774:
Optical Sensors 2013
Francesco Baldini; Jiri Homola; Robert A. Lieberman, Editor(s)

© SPIE. Terms of Use
Back to Top