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Improved Extraction Repeatability and Spectral Reproducibility for Liquid Extraction Surface Analysis-Mass Spectrometry Using Superhydrophobic-Superhydrophilic Patterning

Meurs, Joris; Alexander, Morgan R.; Levkin, Pavel A. ORCID iD icon 1,2; Widmaier, Simon 1; Bunch, Josephine; Barrett, David A.; Kim, Dong-Hyun
1 Institut für Toxikologie und Genetik (ITG), Karlsruher Institut für Technologie (KIT)
2 Institut für Organische Chemie (IOC), Karlsruher Institut für Technologie (KIT)

Abstract:

A major problem limiting reproducible use of liquid extraction surface analysis (LESA) array sampling of dried surface-deposited liquid samples is the unwanted spread of extraction solvent beyond the dried sample limits, resulting in unreliable data. Here, we explore the use of the Droplet Microarray (DMA), which consists of an array of superhydrophilic spots bordered by a superhydrophobic material giving the potential to confine both the sample spot and the LESA extraction solvent in a defined area. We investigated the DMA method in comparison with a standard glass substrate using LESA analysis of a mixture of biologically relevant compounds with a wide mass range and different physicochemical properties. The optimized DMA method was subsequently applied to urine samples from a human intervention study. Relative standard deviations for the signal intensities were all reduced at least 3-fold when performing LESA-MS on the DMA surface compared with a standard glass surface. Principal component analysis revealed more tight clusters indicating improved spectral reproducibility for a human urine sample extracted from the DMA compared to glass. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000083163
Veröffentlicht am 01.06.2018
Originalveröffentlichung
DOI: 10.1021/acs.analchem.8b00973
Scopus
Zitationen: 15
Web of Science
Zitationen: 13
Dimensions
Zitationen: 15
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Organische Chemie (IOC)
Institut für Toxikologie und Genetik (ITG)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2018
Sprache Englisch
Identifikator ISSN: 0003-2700, 0096-4484, 1520-6882
urn:nbn:de:swb:90-831632
KITopen-ID: 1000083163
HGF-Programm 47.01.01 (POF III, LK 01) Biol.Netzwerke u.Synth.Regulat. ITG+ITC
Erschienen in Analytical chemistry
Verlag American Chemical Society (ACS)
Band 90
Heft 10
Seiten 6001-6005
Projektinformation DropCellArray (EU, FP7, 337077)
Vorab online veröffentlicht am 27.04.2018
Nachgewiesen in Dimensions
Web of Science
Scopus
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