PortaDrop

PortaDrop implements a portable digital microfluidic platform that manipulates discrete liquid droplets via electrowetting-on-dielectric for automated fluid handling and integrated electrochemical measurements.


Key Features:

  • Electrowetting-on-dielectric (EWOD): Digital microfluidic manipulation of discrete droplets enabling reconfigurable assays.
  • Integrated electrochemical measurements: On-board support for electrochemical sensing coupled to the microfluidic platform.
  • Electrical impedance spectroscopy (EIS) monitoring: Characterization and monitoring of media exchange and passive dispensing using EIS.
  • Passive dispensing protocol: Support for sequential replacement of a droplet by droplets of another medium.
  • Linux-based Raspberry Pi control: Control and computation implemented on a Linux-based Raspberry Pi.
  • Hardware I/O via USB and GPIO: Expandability through USB and GPIO interfaces for connecting laboratory equipment.

Scientific Applications:

  • Low-volume droplet manipulation: Handling of sample volumes in the nanoliter to picoliter range for assays requiring precise droplet control.
  • Automated electrochemical assays: Integration of automated fluid handling with electrochemical measurements for electrochemical assay workflows.
  • Passive dispensing characterization: Monitoring and characterization of media exchange via passive dispensing using electrical impedance spectroscopy.

Methodology:

PortaDrop uses electrowetting-on-dielectric (EWOD) to manipulate discrete droplets on a digital microfluidic platform, implements integrated electrochemical measurements including electrical impedance spectroscopy to monitor processes such as passive dispensing, and employs a Linux-based Raspberry Pi for control.

Topics

Details

Programming Languages:
C++
Added:
1/18/2021
Last Updated:
1/24/2021

Operations

Publications

Kremers T, Thelen S, Bosbach N, Schnakenberg U. PortaDrop: A portable digital microfluidic platform providing versatile opportunities for Lab-On-A-Chip applications. PLOS ONE. 2020;15(9):e0238581. doi:10.1371/journal.pone.0238581. PMID:32881948. PMCID:PMC7470335.