Ultrahigh-throughput Absorbance Activated Droplet Sorting (UHT-AADS) for enzyme screening at kilohertz frequencies
Abstract
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 landscape of 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 reaching 4 kHz 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 ultrahigh-throughput absorbance activated droplet sorter (UHT-AADS) increases the effective sensitivity of absorbance measurements through better signal quality at a speed that matches the more established fluorescence-activated sorting devices. Table of Contents Graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=106 SRC="FIGDIR/small/507731v1_ufig1.gif" ALT="Figure 1"> View larger version (16K): org.highwire.dtl.DTLVardef@1c81dc3org.highwire.dtl.DTLVardef@119fe88org.highwire.dtl.DTLVardef@195c06borg.highwire.dtl.DTLVardef@8bce56_HPS_FORMAT_FIGEXP M_FIG C_FIG
02 /Specification & Classification
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