Droplet Size-Aware and Error-Correcting Sample Preparation Using Micro-Electrode-Dot-Array Digital Microfluidic Biochips.

Published

Journal Article

Sample preparation in digital microfluidics refers to the generation of droplets with target concentrations for on-chip biochemical applications. In recent years, digital microfluidic biochips (DMFBs) have been adopted as a platform for sample preparation. However, there remain two major problems associated with sample preparation on a conventional DMFB. First, only a (1:1) mixing/splitting model can be used, leading to an increase in the number of fluidic operations required for sample preparation. Second, only a limited number of sensors can be integrated on a conventional DMFB; as a result, the latency for error detection during sample preparation is significant. To overcome these drawbacks, we adopt a next generation DMFB platform, referred to as micro-electrode-dot-array (MEDA), for sample preparation. We propose the first sample-preparation method that exploits the MEDA-specific advantages of fine-grained control of droplet sizes and real-time droplet sensing. Experimental demonstration using a fabricated MEDA biochip and simulation results highlight the effectiveness of the proposed sample-preparation method.

Full Text

Duke Authors

Cited Authors

  • Li, Z; Lai, KY-T; Chakrabarty, K; Ho, T-Y; Lee, C-Y

Published Date

  • December 2017

Published In

Volume / Issue

  • 11 / 6

Start / End Page

  • 1380 - 1391

PubMed ID

  • 28976321

Pubmed Central ID

  • 28976321

Electronic International Standard Serial Number (EISSN)

  • 1940-9990

International Standard Serial Number (ISSN)

  • 1932-4545

Digital Object Identifier (DOI)

  • 10.1109/tbcas.2017.2742548

Language

  • eng