Evidence map›Paper›PMID 42720740›Full record

ArticleAnalytical and bioanalytical chemistry2026

Development of a thiol-ene microfluidic chip for CE-MS of peptides and proteins.

Omid Rouhi, Jordan T Aerts, Kamille C Staack, Delaram R Mikalsen, Stephan S Keller, Mohammad Ramezannezhad, Nickolaj J Petersen, Jörg P Kutter, Kasper D Rand

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Article in Analytical and bioanalytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

9 authors.

Omid RouhiProtein Analysis Group, Department of Pharmacy, University of Copenhagen, 2100, Copenhagen Ø, Denmark.
Jordan T AertsProtein Analysis Group, Department of Pharmacy, University of Copenhagen, 2100, Copenhagen Ø, Denmark.
Kamille C StaackProtein Analysis Group, Department of Pharmacy, University of Copenhagen, 2100, Copenhagen Ø, Denmark.
Delaram R MikalsenProtein Analysis Group, Department of Pharmacy, University of Copenhagen, 2100, Copenhagen Ø, Denmark.
Stephan S KellerNational Centre for Nano Fabrication and Characterization, DTU Nanolab, Technical University of Denmark, 2800 Kgs., Lyngby, Denmark.
Mohammad RamezannezhadNational Centre for Nano Fabrication and Characterization, DTU Nanolab, Technical University of Denmark, 2800 Kgs., Lyngby, Denmark.
Nickolaj J PetersenPharmaceutical Analytical Chemistry Group, Department of Pharmacy, University of Copenhagen, 2100, Copenhagen Ø, Denmark.
Jörg P KutterPharmaceutical Analytical Chemistry Group, Department of Pharmacy, University of Copenhagen, 2100, Copenhagen Ø, Denmark.
Kasper D RandProtein Analysis Group, Department of Pharmacy, University of Copenhagen, 2100, Copenhagen Ø, Denmark. kasper.rand@sund.ku.dk.ORCID http://orcid.org/0000-0002-6337-5489

Funding

European Research Council 101003052
6 · The paper itself

Abstract

Microfluidic capillary electrophoresis coupled with mass spectrometry (MCE-MS) has emerged as a promising platform for miniaturizing biomolecular analysis due to its low sample consumption, rapid separations, and potential for integration of multiple analytical functions on a single device. However, peptide and protein analysis with MCE-MS devices can be limited by electrospray ionization stability and surface adsorption. Here, we have developed a thiol-ene-based MCE device with an integrated electrospray emitter, fabricated using a double-replication molding approach. We improved the performance of the MCE-MS microchip by optimizing electrospray ionization stability and systematically evaluating surface modification strategies to minimize non-specific adsorption and improve separation repeatability. Different MCE channel surface coatings, including linear polyacrylamide and poly(ethylene glycol) methyl ether methacrylate (PEGMA), were investigated for their influence on peptide separations. Both coatings improved separation performance compared to unmodified devices, providing enhanced migration repeatability and reduced non-specific adsorption. PEGMA coatings provided the most balanced overall performance, combining comprehensive analyte compatibility with repeatable migration time and improved peak symmetry with narrower peak width. The optimized coated microchip was utilized for peptide mapping MCE-MS/MS analysis of pepsin-digested hemoglobin. PEGMA-coated chips enabled peptide identification within a separation window of approximately 60 s, achieving sequence coverages of 92.2% and 78.8% for the α- and β-chains, respectively. In addition, intact protein separations of insulin, β-lactoglobulin, and tropomyosin were demonstrated under acidic MCE-MS conditions, with repeatable migration times. These results highlight the potential of thiol-ene-based MCE-MS as a versatile platform for peptide and protein analysis.

Indexed as

Capillary electrophoresisMass spectrometryMicrofluidicsPeptide and protein analysisThiol-ene polymer

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.