Issue 4, 2023

Robotic digital microfluidics: a droplet-based total analysis system

Abstract

Developing automated platforms for point-of-need testing is a crucial global demand. Digital microfluidics is a promising solution for expanding integrated testing devices featuring ultimate control over the chemical and biological reactions in micro/nanoliter droplets. In this study, robotic digital microfluidics (RDMF) is introduced for the mechanical manipulation of the droplets precisely and inexpensively. A controllable and multifunctional arm equipped with several actuators is responsible for dispensing and manipulating droplets on a disposable superhydrophobic cartridge. The platform has been demonstrated with diverse functions, including droplet dispensing, transport, mixing, aliquoting, and splitting. Moreover, incorporating magnetic and heating modules into the system can realize particle manipulation and droplet heating. The liquid handling operations are investigated from both experimental and modeling perspectives. Handling a wide range of droplet sizes without needing high-voltage electric sources, integrability with different detection techniques, and ease of manufacturing are the main advantages of the RDMF platform compared to conventional digital microfluidic systems. The availability of a complete fluidic toolbox and multiple detection choices make RDMF promising for droplet-based total analysis technology. The system was applied for a urinalysis test to show its versatility in handling complex biochemical assays. The results entirely matched those obtained based on laboratory gold standard techniques.

Graphical abstract: Robotic digital microfluidics: a droplet-based total analysis system

Supplementary files

Article information

Article type
Paper
Submitted
14 Sep 2022
Accepted
20 Dec 2022
First published
21 Dec 2022

Lab Chip, 2023,23, 748-760

Robotic digital microfluidics: a droplet-based total analysis system

M. J. Kiani, A. Dehghan, M. Saadatbakhsh, S. Jamali Asl, N. M. Nouri and E. Pishbin, Lab Chip, 2023, 23, 748 DOI: 10.1039/D2LC00849A

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