4.7 Article

An integrated gas-liquid droplet microfluidic platform for digital sampling and detection of airborne targets

Journal

SENSORS AND ACTUATORS B-CHEMICAL
Volume 267, Issue -, Pages 279-293

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.snb.2018.03.057

Keywords

Microfluidics; Droplets; Flow-Focusing; Ammonia detection; Digital sampling; Gaseous target

Funding

  1. National Science Foundation (NSF) [1522841]
  2. Directorate For Engineering
  3. Div Of Chem, Bioeng, Env, & Transp Sys [1522841] Funding Source: National Science Foundation

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The use of microfluidic droplets has become ubiquitous in many Lab-on-a-Chip (LOC) applications ranging from material synthesis to novel biochemical sensing. In this paper, we introduce a new droplet-based approach that incorporates a gas phase for generating liquid droplet microreactors in a microfluidic flow-focusing format. We demonstrate the subsequent on-chip transition, collection and handling of the droplets in a secondary liquid carrier inside a multilayer PDMS structure. The presented technique has potential applications in capturing and probing airborne particles and gaseous vapors using high surface to-volume picoliter droplets. The discrete microfluidic gas-liquid interfaces created in this approach, greatly facilitate absorption and up-concentration of a gaseous target analyte into the droplet volume. The chip-based format of the units also allows for different microfluidic modules and analytical techniques to be integrated in this platform for droplet probing, providing highly-sensitive LOC detection systems. Here, we demonstrate the basic principles of sample partitioning with gas-liquid droplets by capturing and detection of vaporized ammonia at different gaseous concentrations using Nessler's reaction inside the droplets. The results of this work provide a simple and robust quantification approach for determining gaseous ammonia which can be further expanded to other gas-phase analytes in next generation of airborne target detectors for human breath analysis and environmental monitoring. (C) 2018 Elsevier B.V. All rights reserved.

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