4.7 Article

Deterministic droplet coding via acoustofluidics

Journal

LAB ON A CHIP
Volume 20, Issue 23, Pages 4466-4473

Publisher

ROYAL SOC CHEMISTRY
DOI: 10.1039/d0lc00538j

Keywords

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Funding

  1. National Institutes of Health [R01GM132603, R01GM135486, UG3TR002978, R33CA223908, R01GM127714, R01HD086325]
  2. National Science Foundation [ECCS-1807601]
  3. National Natural Science Foundation of China [61874033]
  4. Natural Science Foundation of Shanghai Municipal Government [18ZR1402600]
  5. State Key Lab of ASIC and System, Fudan University [2018MS003]

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Droplet microfluidics has become an indispensable tool for biomedical research and lab-on-a-chip applications owing to its unprecedented throughput, precision, and cost-effectiveness. Although droplets can be generated and screened in a high-throughput manner, the inability to label the inordinate amounts of droplets hinders identifying the individual droplets after generation. Herein, we demonstrate an acoustofluidic platform that enables on-demand, real-time dispensing, and deterministic coding of droplets based on their volumes. By dynamically splitting the aqueous flow using an oil jet triggered by focused traveling surface acoustic waves, a sequence of droplets with deterministic volumes can be continuously dispensed at a throughput of 100 Hz. These sequences encode barcoding information through the combination of various droplet lengths. As a proof-of-concept, we encoded droplet sequences into end-to-end packages (e.g., a series of 50 droplets), which consisted of an address barcode with binary volumetric combinations and a sample package with consistent volumes for hosting analytes. This acoustofluidics-based, deterministic droplet coding technique enables the tagging of droplets with high capacity and high error-tolerance, and can potentially benefit various applications involving single cell phenotyping and multiplexed screening.

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