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Related Concept Videos

MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.Matrix-assisted laser desorption ionization (MALDI) is a commonly...

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Related Experiment Video

Updated: Jun 29, 2026

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry UPLC-MS
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Small molecule biomarker discovery: Proposed workflow for LC-MS-based clinical research projects.

S Rischke1, L Hahnefeld1,2, B Burla3

  • 1pharmazentrum frankfurt/ZAFES, Institute of Clinical Pharmacology, Johann Wolfgang Goethe University, Theodor Stern-Kai 7, 60590 Frankfurt am Main, Germany.

Journal of Mass Spectrometry and Advances in the Clinical Lab
|March 6, 2023
PubMed
Summary

Liquid chromatography-mass spectrometry (LC-MS) is key for discovering small molecule biomarkers to understand diseases and advance personalized medicine. This graphical review outlines the essential steps for conducting successful LC-MS clinical research projects.

Keywords:
(U)HPLC (Ultra-), High pressure liquid chromatographyBiomarker Discovery StudyHILIC, Hydrophilic interaction liquid chromatographyHRMS, High resolution mass spectrometryLC-MS, Liquid chromatography – mass spectrometryLC-MS-Based Clinical ResearchLipidomicsMRM, Multiple reaction monitoringMetabolomicsPCA, Principal component analysisQA, Quality assuranceQC, Quality controlRF, Random ForestRP, Reversed phaseSVA, Support vector machine

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Last Updated: Jun 29, 2026

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Area of Science:

  • Biomarker Discovery
  • Clinical Research
  • Personalized Medicine

Background:

  • Mass spectrometry, particularly for small endogenous molecules, is crucial for understanding disease pathophysiology.
  • Liquid chromatography-mass spectrometry (LC-MS) generates large datasets essential for biomarker discovery.
  • Clinical research requires collaboration between researchers, clinicians, and data scientists.

Purpose of the Study:

  • To provide a comprehensive overview of conducting LC-MS-based clinical research for small molecule biomarker discovery.
  • To guide researchers through the various stages of a clinical research project.
  • To emphasize the importance of interdisciplinary collaboration and quality control.

Main Methods:

  • Study design and planning, including scope definition and expert engagement.
  • Subject enrollment and trial design considering epidemiological factors.
  • Pre-analytical sample handling, LC-MS measurement (targeted, semi-targeted, non-targeted), and data processing.
  • In-silico analysis using classical statistics, machine learning, pathway analysis, and gene set enrichment.
  • Validation of results and implementation of quality control measures throughout the study.

Main Results:

  • Successful biomarker discovery necessitates meticulous planning and execution.
  • Data quality is heavily influenced by pre-analytical sample handling and analytical methods.
  • Robust data analysis requires a combination of statistical and machine learning approaches.
  • Interdisciplinary collaboration is vital for translating research findings into clinical applications.

Conclusions:

  • LC-MS is a powerful tool for identifying small molecule biomarkers in clinical research.
  • A systematic approach, from study design to validation, ensures reliable results.
  • Effective communication and collaboration among stakeholders are critical for success.
  • Implementing rigorous quality control enhances the confidence in diagnostic and prognostic biomarkers.