Automatic bio-sampling chips integrated with micro-pumps and micro-valves for disease detection.

Abstract

The present study reports a microfluidic system using the concept of membrane-movement to design and fabricate micro-pneumatic valves and pumps to form a bio-sensing diagnostic chip. The automatic bio-sampling system includes a micro-diagnostic chip fabricated by using MEMS (micro-electro-mechanical systems) technology and an automatic platform comprising of a control circuit, a compressed air source and several electromagnetic valve switches. The control circuit is used to regulate the electromagnetic valve switches, causing thin PDMS membranes to deflect pneumatically by the compressed air and generate valving and pumping effects. The micro-diagnostic chip allows for the quick detection of diseases. Compared to large-scale systems, the new microfluidic system uses smaller amounts of samples and reagents and performs fast diagnosis in an automated format. Instead of using traditional pneumatic micro-pumps, the current study adopts a new design called "spider-web" micro-pumps to increase the pumping rate, and more importantly, improve the uniformity of flow rates inside multiple micro-channels. Experimental data show that for disease diagnosis, the bio-sensing chips integrated with the micro-pneumatic valves and the peristaltic micro-pumps could successfully perform diagnosis tests. Small amounts of samples and reagents could be injected into the diagnosis chips using the micro-pumps and the micro-pneumatic valves could effectively control the movement of the samples and reagents. In order to demonstrate the functionality of the developed device, detection of hepatitis C virus (HCV) and syphilis has been performed using the bio-sampling chips. Experimental data show that fluorescence signals from the microfluidic system were comparable to the ones using conventional testing methods. The developed chip could be easily extended for multiple disease detection. The automatic bio-sensing chips could provide a useful tool for fast disease detection and be crucial for a micro-total-analysis system.