posted on 2023-02-27, 20:33authored byElliot
J. Medcalf, Maximilian Gantz, Tomasz S. Kaminski, Florian Hollfelder
Droplet microfluidics
is a valuable method to “beat the
odds” in high throughput screening campaigns such as directed
evolution, where valuable hits are infrequent and large library sizes
are required. Absorbance-based sorting expands the range of enzyme
families that can be subjected to droplet screening by expanding possible
assays beyond fluorescence detection. However, absorbance-activated
droplet sorting (AADS) is currently ∼10-fold slower than typical
fluorescence-activated droplet sorting (FADS), meaning that, in comparison,
a larger portion of sequence space is inaccessible due to throughput
constraints. Here we improve AADS to reach kHz sorting speeds in an
order of magnitude increase over previous designs, with close-to-ideal
sorting accuracy. This is achieved by a combination of (i) the use
of refractive index matching oil that improves signal quality by removal
of side scattering (increasing the sensitivity of absorbance measurements);
(ii) a sorting algorithm capable of sorting at this increased frequency
with an Arduino Due; and (iii) a chip design that transmits product
detection better into sorting decisions without false positives, namely
a single-layered inlet to space droplets further apart and injections
of “bias oil” providing a fluidic barrier preventing
droplets from entering the incorrect sorting channel. The updated
ultra-high-throughput absorbance-activated droplet sorter increases
the effective sensitivity of absorbance measurements through better
signal quality at a speed that matches the more established fluorescence-activated
sorting devices.