Performance Characteristics of Zeno Trap Scanning DIA for Sensitive and Quantitative Proteomics at High Throughput

Journal article

Proteomic experiments, particularly those addressing dynamic proteome properties, time series, or genetic diversity, require the analysis of large sample numbers. Despite significant advancements in proteomic technologies in recent years, further improvements are needed to accelerate measurement and enhance proteome coverage and quantitative performance. Previously, we demonstrated that incorporating a scanning MS2 dimension into data‐independent acquisition (DIA) methods (Scanning SWATH, or more generally scanning DIA), but also ion trapping, improves analytical depth and quantitative performance, especially in proteomic methods using fast chromatography. Here, we evaluate the scanning DIA approach combined with ion trapping via the Zeno trap in a method termed ZT Scan DIA, using a ZenoTOF 7600+ instrument (SCIEX). Applying this method to established proteome standards across various analytical setups, enabling intermediate to high sample throughput, we observed a 30%–40% increase in identified precursors. This enhancement extended to overall protein identification and precise quantification. Furthermore, ZT Scan DIA effectively eliminated quantitative bias, as demonstrated by its ability to deconvolute proteomes in multi‐species mixtures. We propose that ZT Scan DIA can be used for a broad range of applications in proteomics, particularly in studies requiring high quantitative precision with low sample input and high‐throughput workflows.

Authors: Sinn, LR; Wang, Z; Alvarez, CP; Chelur, A; Batruch, I

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Wiley
• Journal: Proteomics: Proteomics and Systems Biology
• Article number: e70093
• Publication date: 2025-12-26
• Acceptance date: 2025-12-04
• DOI: 10.1002/pmic.70093
• EISSN: 1615-9861
• ISSN: 1615-9853
• Language: English
• Keywords: SWATH; mass spectrometry; high‐throughput; data‐independent acquisition; proteomics