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Updated: Apr 21, 2026

An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome
Published on: September 20, 2022
Dark Reactions in Microdroplets Explain Widespread Artifacts in Metabolomic Profiling
Xiaowei Song1, Jinheng Xu1, Chenglong Sun2
1Department of Chemistry, Stanford University, Stanford, 94305 California, United States.
Untargeted metabolomics often struggles with ion identification. Microdroplets in electrospray ionization drive chemical reactions, creating artifactual ions that hinder accurate metabolite analysis.
Area of Science:
- Analytical Chemistry
- Biochemistry
- Metabolomics
Background:
- Mass-spectrometry-based untargeted metabolomics faces significant challenges in reliable ion annotation and identification.
- A large number of unexplained ions are frequently observed, complicating data interpretation.
Purpose of the Study:
- To elucidate the identities, sources, and formation mechanisms of previously unexplained ions in untargeted metabolomics.
- To demonstrate how microdroplets formed during electrospray ionization contribute to artifactual ion generation.
Main Methods:
- Investigated chemical transformations occurring within microdroplets during electrospray ionization.
- Analyzed ion formation mechanisms including redox, addition, condensation, reductive amination, decarboxylative coupling, and radical reactions.
- Examined the role of reactive oxygen and nitrogen species at the gas-aqueous interface.
Main Results:
- Microdroplets promote diverse chemical reactions, generating artifactual ions (false positives) from metabolite activation.
- These artifacts are often misassigned as endogenous metabolites, contributing to numerous unidentified features.
- In one case, artifact identification improved annotation rates from 9% to over 50% in untargeted metabolomics data.
Conclusions:
- Microdroplet-induced chemical transformations are a major source of artifactual ions in untargeted metabolomics.
- Addressing these artifacts is crucial for improving the accuracy and reliability of metabolomic analyses.
- Practical strategies can be implemented to minimize artifact formation and enhance metabolite identification.
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