Viscoelastic Based Droplet Sorting in Microfluidic Channels
نویسندگان
چکیده
We present a passive droplet sorting technique based on intrinsic viscoelastic fluid properties dependent on inner and outer fluid phase viscosity ratio (k-value), droplet deformability, and viscoelastic properties. We demonstrate sorting rates of >200 Hz of both homogeneous and heterogeneous sized droplet populations between 40-100 μm‟s and enrichment rates as high as 99%. We demonstrate sorting viscosity discriminations as low as 2 cPs based on a change from 2cPs to 4cPs corresponding to a k-value of 0.4 to 0.8 respectively. Of particular interest for this research, we aim to investigate the ability to sort droplets containing digital PCR amplified DNA.
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