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Nanoliter Scale Parallel Liquid–Liquid Extraction for High‐Throughput Purification on a Droplet Microarray

Wiedmann, Janne J. 1; Demirdögen, Yelda N. 1; Schmidt, Stefan; Kuzina, Mariia A. 1; Wu, Yanchen 2; Wang, Fei ORCID iD icon 2; Nestler, Britta 2; Hopf, Carsten; Levkin, Pavel A. ORCID iD icon 1,3
1 Institut für Biologische und Chemische Systeme (IBCS), Karlsruher Institut für Technologie (KIT)
2 Institut für Angewandte Materialien – Mikrostruktur-Modellierung und Simulation (IAM-MMS), Karlsruher Institut für Technologie (KIT)
3 Institut für Organische Chemie (IOC), Karlsruher Institut für Technologie (KIT)


In the current drug discovery process, the synthesis of compound libraries is separated from biological screenings both conceptually and technologically. One of the reasons is that parallel on-chip high-throughput purification of synthesized compounds is still a major challenge. Here, on-chip miniaturized high-throughput liquid–liquid extraction in volumes down to 150 nL with efficiency comparable to or better than large-scale extraction utilizing separation funnels is demonstrated. The method is based on automated and programmable merging of arrays of aqueous nanoliter droplets with organic droplets. Multi-step extraction performed simultaneously or with changing conditions as well as handling of femtomoles of compounds are demonstrated. In addition, the extraction efficiency is analyzed with a fast optical readout as well as matrix-assisted laser desorption ionization-mass spectrometry on-chip detection. The new massively parallel and miniaturized purification method adds another important tool to the chemBIOS concept combining chemical combinatorial synthesis with biological screenings on the same miniaturized droplet microarray platform, which will be essential to accelerate drug discovery.

Verlagsausgabe §
DOI: 10.5445/IR/1000156172
Veröffentlicht am 21.02.2023
DOI: 10.1002/smll.202204512
Zitationen: 6
Web of Science
Zitationen: 5
Zitationen: 7
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Biologische und Chemische Systeme (IBCS)
Institut für Organische Chemie (IOC)
Institut für Angewandte Materialien – Mikrostruktur-Modellierung und Simulation (IAM-MMS)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 1613-6810, 1613-6829
KITopen-ID: 1000156172
HGF-Programm 43.33.11 (POF IV, LK 01) Adaptive and Bioinstructive Materials Systems
Erschienen in Small
Verlag John Wiley and Sons
Band 19
Heft 9
Seiten Art.Nr. 2204512
Vorab online veröffentlicht am 20.12.2022
Nachgewiesen in Scopus
Web of Science
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