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Digital twin of a droplet microarray platform: Evaporation behavior for multiple droplets on patterned chips for cell culture

Wu, Yanchen 1; Urrutia Gómez, Joaquín Eduardo ORCID iD icon 2; Zhang, Hongmin 1; Wang, Fei 1; Levkin, Pavel A. ORCID iD icon 3; Popova, Anna A. ; Nestler, Britta 1
1 Institut für Nanotechnologie (INT), Karlsruher Institut für Technologie (KIT)
2 Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)
3 Institut für Organische Chemie (IOC), Karlsruher Institut für Technologie (KIT)

Abstract:

Precise control of the evaporation of multiple droplets on patterned surfaces is crucial in many technological applications, such as anti-icing, coating, and high-throughput assays. Yet, the complex evaporation process of multiple droplets on well-defined patterned surfaces is still poorly understood. Herein, we develop a digital twin system for real-time monitoring of key processes on a droplet microarray (DMA), which is essential for parallelization and automation of the operations for cell culture. Specifically, we investigate the evaporation of multiple nanoliter droplets under different conditions via experiments and numerical simulations. We demonstrate that the evaporation rate is not only affected by the environmental humidity and temperature but is also strongly linked to the droplet distribution on the patterned surfaces, being significantly reduced when the droplets are densely distributed. Furthermore, we propose a theoretical method to aid in the experimental detection of volumes and pH variation of evaporating droplets on patterned substrates. This versatile and practical strategy allows us to achieve active maneuvering of the collective evaporation of droplets on a DMA, which provides essential implications for a wide range of applications including cell culture, heat management, microreactors, biochips, and so on.


Verlagsausgabe §
DOI: 10.5445/IR/1000164875
Veröffentlicht am 20.08.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Materialien – Computational Materials Science (IAM-CMS)
Institut für Automation und angewandte Informatik (IAI)
Institut für Nanotechnologie (INT)
Institut für Organische Chemie (IOC)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 01.01.2024
Sprache Englisch
Identifikator ISSN: 2769-2159; 2731-4375
KITopen-ID: 1000164875
HGF-Programm 43.31.01 (POF IV, LK 01) Multifunctionality Molecular Design & Material Architecture
Erschienen in Droplet
Verlag Wiley
Band 3
Heft 1
Seiten Art.-Nr. e94
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