Programmable Control of Nanoliter Droplet Arrays using Membrane Displacement Traps.


Journal

Advanced materials technologies
ISSN: 2365-709X
Titre abrégé: Adv Mater Technol
Pays: United States
ID NLM: 101717732

Informations de publication

Date de publication:
10 Nov 2023
Historique:
pmc-release: 10 11 2024
medline: 18 3 2024
pubmed: 18 3 2024
entrez: 18 3 2024
Statut: ppublish

Résumé

A unique droplet microfluidic technology enabling programmable deterministic control over complex droplet operations is presented. The platform provides software control over user-defined combinations of droplet generation, capture, ejection, sorting, splitting, and merging sequences to enable the design of flexible assays employing nanoliter-scale fluid volumes. The system integrates a computer vision system with an array of membrane displacement traps capable of performing selected unit operations with automated feedback control. Sequences of individual droplet handling steps are defined through a robust Python-based scripting language. Bidirectional flow control within the microfluidic chips is provided using an H-bridge channel topology, allowing droplets to be transported to arbitrary trap locations within the array for increased operational flexibility. By enabling automated software control over all droplet operations, the system significantly expands the potential of droplet microfluidics for diverse biological and biochemical applications by combining the functionality of robotic liquid handling with the advantages of droplet-based fluid manipulation.

Identifiants

pubmed: 38495529
doi: 10.1002/admt.202300963
pmc: PMC10939115
pii:
doi:

Types de publication

Journal Article

Langues

eng

Auteurs

Jason Harriot (J)

Department of Mechanical Engineering, University of Maryland, College Park, MD 20742.
Fishell Institute for Biomedical Devices, University of Maryland, College Park, MD 20742.

Michael Yeh (M)

Department of Mechanical Engineering, University of Maryland, College Park, MD 20742.
Fishell Institute for Biomedical Devices, University of Maryland, College Park, MD 20742.

Mani Pabba (M)

Department of Computer Science, University of Maryland, College Park, MD 20742.

Don L DeVoe (DL)

Department of Mechanical Engineering, University of Maryland, College Park, MD 20742.
Fishell Institute for Biomedical Devices, University of Maryland, College Park, MD 20742.

Classifications MeSH