Bulletin of the American Physical Society
71st Annual Meeting of the APS Division of Fluid Dynamics
Volume 63, Number 13
Sunday–Tuesday, November 18–20, 2018; Atlanta, Georgia
Session KP1: Poster Session (3:20-4:05pm)
Monday, November 19, 2018
Georgia World Congress Center Room: Level 1, Exhibit Hall B2 by the GFM videos
Abstract ID: BAPS.2018.DFD.KP1.121
Abstract: KP1.00121 : Predicting Drop Arrival Sequence Based on Starting Position*
Alison Dana Bick
Alison Dana Bick
Sindy K.Y. Tang
In droplet microfluidics, micro-droplets are used as biochemical reactors. Each of these droplet reactors can contain different reactions. Predicting drop sequence as they flow in a microfluidic system is important for tracking the content of the drops. We find that at low capillary numbers, when up to 4 rows of concentrated emulsion flow together and converge into a single channel, the order that these drops enter the constriction can be predicted. Furthermore, the drops’ arrival sequence can be predicted based on their starting position in the straight channel. We demonstrate the robustness of the system by showing that the drop order sequence can recover from small defects in the emulsion. Practically, our results enable drop tracking based on drop starting position rather than chemical labeling, and can lead to significant cost reduction in droplet assays.
*We acknowledge support from the National Science Foundation through the NSF CAREER Award No. 1454542.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DFD.KP1.121
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