High-throughput lipidomics is increasingly important for large-scale studies and clinical applications. While shotgun lipidomics enables rapid analysis, it suffers from limitations such as carryover, ion suppression, and poor reproducibility. Acoustic droplet ejection mass spectrometry (ADE-MS) presents a novel approach, enabling touchless nanoliter-scale sample introduction at high speed, precision, and accuracy. Initially designed for single-droplet injection, ADE-MS can be adapted for direct infusion with stable signals. In this study, we developed and benchmarked a scalable workflow based on ADE-MS/MS with parallel reaction monitoring (PRM) on a ZenoTOF MS platform, implemented in a 384-well format. By optimizing solvent composition, droplet parameters, and MS acquisition settings, the workflow enabled reproducible quantification of over 1000 polar and nonpolar lipid species across 14 subclasses, with low sample consumption and a total run time of approximately five minutes per sample. The method demonstrated robust analytical performance in terms of linearity, precision, reproducibility, and recovery across 384-well microplates. Cross-platform comparison with a validated hydrophilic interaction liquid chromatography (HILIC)-MS/MS method using NIST SRM 1950 plasma demonstrated strong agreement (R² > 0.80 for most subclasses) and substantially higher throughput, achieving over 200 lipid identifications per minute and a daily capacity exceeding 280 samples. The applicability of this workflow was demonstrated by identifying 656 differential lipid features associated with progressive lipidomic dysregulation across body mass index categories.
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Yu Zhang
Amy C. Harms
Lucas Jurado‐Fasoli
Leiden University
Universidad de Granada
Instituto de Salud Carlos III
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Zhang et al. (Fri,) studied this question.
synapsesocial.com/papers/68d9051441e1c178a14f4b6d — DOI: https://doi.org/10.26434/chemrxiv-2025-827f9-v2