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ANDeS: An automated nanoliter droplet selection and collection device

Gómez, Joaquín E. Urrutia 1; Faraj, Razan El Khaled El 1; Braun, Moritz 2; Levkin, Pavel A. ORCID iD icon 3; Popova, Anna A. 1
1 Institut für Biologische und Chemische Systeme (IBCS), Karlsruher Institut für Technologie (KIT)
2 Karlsruher Institut für Technologie (KIT)
3 Institut für Organische Chemie (IOC), Karlsruher Institut für Technologie (KIT)

Abstract:

The Droplet Microarray (DMA) has emerged as a tool for high-throughput biological and chemical applications by enabling miniaturization and parallelization of experimental processes. Due to its ability to hold hundreds of nanoliter droplets, the DMA enables simple screening and analysis of samples such as cells and biomolecules. However, handling of nanoliter volumes poses a challenge, as manual recovery of nanoliter volumes is not feasible, and traditional laboratory equipment is not suited to work with such low volumes, and small array formats. To tackle this challenge, we developed the Automated Nanoliter Droplet Selection device (ANDeS), a robotic system for automated collection and transfer of nanoliter samples from DMA.

ANDeS can automatically collect volumes from 50 to 350 nL from the flat surface of DMA with a movement accuracy of ±30 µm using fused silica capillaries. The system can automatically collect and transfer the droplets from DMA chip into other platforms, such as microtiter plates, conical tubes or another DMA. In addition, to ensure high throughput and multiple droplet collection, the uptake of multiple droplets within a single capillary, separated by air gaps to avoid mixing of the samples within the capillary, was optimized and demonstrated.
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Verlagsausgabe §
DOI: 10.5445/IR/1000167864
Veröffentlicht am 30.01.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Materialien – Computational Materials Science (IAM-CMS)
Institut für Biologische und Chemische Systeme (IBCS)
Institut für Organische Chemie (IOC)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 11.2024
Sprache Englisch
Identifikator ISSN: 2472-6303
KITopen-ID: 1000167864
HGF-Programm 43.33.11 (POF IV, LK 01) Adaptive and Bioinstructive Materials Systems
Erschienen in SLAS Technology
Verlag SAGE Publications
Band 29
Heft 1
Seiten 100118
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 18.11.2023
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