A Linear Array of Unique Microfluidic Gradients for Enzymatic Bioassay
Conference Recording Apr 21, 2013
About the SpeakerMatthew D. Estes is a Postdoctoral Research Associate in the Center for Applied NanoBioscience and Medicine at the University of Arizona. He received his B.S. from UC Berkeley, and his Ph.D. from the University of Cincinnati. He completed his dissertation under Chong Ahn in the MicroSystems and BioMEMS Lab on the multi-stage sorting of precancerous cells based on surface protein expression. His current interests include automated diagnostic instrumentation, localized microenvironments, human-microbial interactions, preventative medicine, forensic identification, and biodosimetry.
There is a strong move toward parallelization in the microfluidic environment to improve the throughput and resolution of lab-on-a-chip devices. The authors present a single chip capable of generating a linear array of unique diffusion-based gradients in a variety of microchannels in parallel. This is accomplished through a passive valveless architecture where the strength of each gradient can be precisely tuned by merely adjusting the flow rate of the system. Temporal tuning allows for dynamic gradient restructuring on the fly, leading to significantly more freedom during assay development. The chip design is programmable and can be configured to as many distinct channels as the application requires.