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  4. Laser-induced forward transfer of soft material nanolayers with millisecond pulses shows contact-based material deposition
 
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Laser-induced forward transfer of soft material nanolayers with millisecond pulses shows contact-based material deposition

Publikationstyp
Journal Article
Date Issued
2020-04-01
Sprache
English
Author(s)
Paris, Grigori  
Klinkusch, Andreas  
Heidepriem, Jasmin  
Tsouka, Alexandra  
Zhang, Junfang  
Mende, Marco  
Mattes, Daniela S.  
Mager, Dario  
Riegler, Hans  
Eickelmann, Stephan  
Loeffler, Felix F.  
TORE-URI
https://hdl.handle.net/11420/59492
Journal
Applied surface science  
Volume
508
Article Number
144973
Citation
Applied Surface Science 508: 144973 (2020)
Publisher DOI
10.1016/j.apsusc.2019.144973
Scopus ID
2-s2.0-85077509265
ISSN
01694332
In this work, we present a qualitative and quantitative experimental analysis, as well as a numerical model, of a novel variant of the laser-induced forward transfer, which uses millisecond laser pulses. In this process, soft material nanolayer spots are transferred from a donor slide, which is coated with the soft material layer, to an acceptor slide via laser irradiation. This method offers a highly flexible material transfer to perform high-throughput combinatorial chemistry for the generation of biomolecule arrays. For the first time, we show visual evidence that the main transfer mechanism is contact-based, due to thermal surface expansion of the donor layer. Thus, the process is different from the many known variants of laser-induced forward transfer. We characterize the maximum axial surface expansion in relation to laser power and pulse duration. On this basis, we derive a numerical model that approximates the axial surface expansion within measurement tolerances. Finally, we analyze the topology of the transferred soft material nanolayer spots by fluorescence imaging and vertical scanning interferometry to determine width, height, and shape of the transferred material. Concluding from this experimental and numerical data, we can now predict the amount of transferred material in this process.
Subjects
Experimental and numerical prediction
Fluorescence imaging
High-speed imaging
OpenFOAM
Vertical scanning interferometry
DDC Class
600: Technology
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