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Streamlined Digital Microfluidics-Mass Spectrometry Strategy for Extracellular Vesicle Enrichment and Lipid Profiling

  • Menglei Zhao
  • , Hang Li*
  • , Yudan Ma
  • , Zongliang Guo
  • , Haobing Liu
  • , Liyuan Guo
  • , Juanjuan Ning
  • , Wanjun Zhang
  • , Weijie Qin
  • , Wei Xie
  • , Hainan Xie
  • , Rongxin Fu
  • , Kangfu Chen
  • , Linfeng Xu
  • , Yanbing Zhai
  • , Wei Xu
  • , Akos Vertes
  • , Huikai Xie
  • , Shuailong Zhang*
  • *Corresponding author for this work
  • Beijing Institute of Technology
  • National Center for Protein Sciences (Beijing)
  • Ltd.
  • Xi'an Jiaotong University
  • George Washington University

Research output: Contribution to journalArticlepeer-review

Abstract

Extracellular vesicles (EVs) are nanoscale mediators of intercellular communication that contribute to disease processes, such as tumor progression and immune regulation. However, EV lipidomics remains constrained by conventional isolation methods that require large sample volumes, long processing times, and limited compatibility with downstream lipid characterization, impeding studies of scarce specimens (e.g., macrophage-derived EVs from specific physiological states). Here, we report a multiplexed digital microfluidic (DMF) platform integrated with mass spectrometry for rapid EV isolation and on-chip lipidomic profiling from trace samples. EVs are captured using ZrO2-coated magnetic beads (ZrO2@Fe3O4), where Zr4+ Lewis acidic sites coordinate with phosphate groups on the EV membrane to enable efficient binding. Following capture, lipids are extracted directly on-chip and analyzed by MS. The workflow isolates EVs from microliter-scale biological samples within 15 min, preserves EV activity, and achieves a recovery of 78%. While this recovery is comparable to ultracentrifugation (84%), the DMF approach reduces processing time from >2 h to 15 min. Lipid profiling of HeLa-cell-derived EVs revealed broad lipid coverage. When applied to macrophage EVs, the platform resolved subtype-dependent lipid remodeling between resting M0 and anti-inflammatory M2 states: M2 EVs showed increased anti-inflammatory fatty acids (palmitoleic acid and docosahexaenoic acid) and decreased cholesterol esters. This integrated DMF–MS strategy enables fast, low-volume EV enrichment and lipidomic interrogation, supporting studies of rare samples and accelerating translational applications in immunometabolism and diagnostics.

Original languageEnglish
Pages (from-to)7590-7602
Number of pages13
JournalAnalytical Chemistry
Volume98
Issue number10
DOIs
Publication statusPublished - 17 Mar 2026

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