An Impedance Sensing Platform for Monitoring Heterogeneous Connectivity and Diagnostics in Lab-on-a-Chip Systems
Chunjie Zhang, Yang Su, Siyi Hu, Kai Jin, Yuhan Jie, Wenshi Li, Arokia Nathan, Hanbin Ma
Abstract
Reliable hardware connectivity is vital in heterogeneous integrated systems. For example, in digital microfluidics lab-on-a-chip systems, there are hundreds of physical connections required between a microelectromechanical fabricated device and the driving system that can be remotely located on a printed circuit board. Unfortunately, the connection reliability cannot be checked or monitored by vision-based detection methods that are commonly used in the semiconductor industry. Therefore, a sensing platform that can be seamlessly integrated into existing digital microfluidics systems and provide real-time monitoring of multiconnectivity is highly desired. Here, we report an impedance sensing platform that can provide fast detection of a single physical connection in timescales of milliseconds. Once connectivity is established, the same setup can be used to determine the droplet location. The sensing system can be scaled up to support multiple channels or applied to other heterogeneously integrated systems that require real-time monitoring and diagnostics of multiconnectivity systems.