Comparison of the Trapping Efficiency for Tryptic Peptides on Particle-Packed and Micro-Pillar Trap Columns for Proteomics Analyses

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Authors: Jadranka Miletić Vukajlović, Bojana Ćetenović, Bella Bruszel, Tanja Panić-Janković, Goran Mitulović
Cited by: 1
References: 63

Abstract

Background: Low-volume trapping columns are essential for sample enrichment, desalting, and injection profile focusing on nano-LC–MS-based proteomics. They enable higher sample loading, improve chromatographic performance, and protect the analytical column by removing salts and contaminants. Recently, monolithic trap columns with micropillar architecture have emerged as alternatives to conventionally packed traps. This study compares the performance of a packed and a micropillar monolithic trap column for the analysis of tryptic peptides. Methods: A tryptic digest of HeLa cell lysate was analyzed under identical LC–MS conditions using both trap types. Peptides were detected at 214 nm and analyzed by nano-ESI on a Q Exactive Plus Orbitrap. Data were searched against the human UniProt database (February 2023) using FragPipe v20.0, and statistical evaluation of MaxLFQ intensities was performed in Perseus using Welch’s t-test and clustering analysis. Results: Over 2500 proteins were identified with both setups. The packed trap column yielded more total peptides, particularly those with post-translational modifications and higher hydrophilicity, whereas the monolithic column favored peptides of intermediate hydrophobicity. Chromatographic profiles confirmed a slight reduction in the trapping efficiency of hydrophilic peptides by the monolithic trap. Conclusions: Trap column design significantly influences peptide recovery and proteome coverage.

Fields of Study & Subjects

Advanced Proteomics Techniques and Applications Advanced Biosensing Techniques and Applications Microfluidic and Capillary Electrophoresis Applications

Publication details

Journal / source
Proteomes
Publisher
MDPI AG
Volume
14
Issue
1
Pages
10–10
Publication date
18 February 2026
Language
EN