AI Article Synopsis

  • Droplet microfluidics is a versatile technique used in biomedical and industrial fields for tasks like single-cell analysis and metabolic engineering, with droplet sorting being key for isolating specific small droplets.
  • Recent efforts focus on sorting larger droplets to leverage their size, but achieving high sorting throughput has been challenging.
  • A new upgraded fluorescence-activated droplet sorting system, featuring more electrodes and a slanted microchannel, successfully sorted 1 nL droplets at a record rate of 1752 droplets per second, doubling the previous maximum throughput.

Article Abstract

Droplet microfluidics has emerged as a powerful tool for a diverse range of biomedical and industrial applications such as single-cell analysis, directed evolution, and metabolic engineering. In these applications, droplet sorting has been effective for isolating small droplets encapsulating molecules, cells, or crystals of interest. Recently, there is an increased interest in extending the applicability of droplet sorting to larger droplets to utilize their size advantage. However, sorting throughputs of large droplets have been limited, hampering their wide adoption. Here, we report our demonstration of high-throughput fluorescence-activated droplet sorting of 1 nL droplets using an upgraded version of the sequentially addressable dielectrophoretic array (SADA), which we reported previously. The SADA is an array of electrodes that are individually and sequentially activated/deactivated according to the speed and position of a droplet passing nearby the array. We upgraded the SADA by increasing the number of driving electrodes constituting the SADA and incorporating a slanted microchannel. By using a ten-electrode SADA with the slanted microchannel, we achieved fluorescence-activated droplet sorting of 1 nL droplets at a record high throughput of 1752 droplets/s, twice as high as the previously reported maximum sorting throughput of 1 nL droplets.

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http://dx.doi.org/10.1002/elps.202100057DOI Listing

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