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Mass Spectrometry: Complex Analysis01:21

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GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
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Sample Preparation for Metabolic Profiling using MALDI Mass Spectrometry Imaging
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The Recent Developments in Sample Preparation for Mass Spectrometry-Based Metabolomics.

Zhi-Gang Gong1,2, Jing Hu1,3, Xi Wu1

  • 1a Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences , Shanghai , P. R. China.

Critical Reviews in Analytical Chemistry
|June 21, 2017
PubMed
Summary

This review explores challenges and trends in sample preparation for mass spectrometry-based metabolomics. It examines emerging techniques to improve data quality in systems biology research.

Keywords:
Mass spectrometrymetabolomicsmetabonomicsmicrodialysismicroextractionsample preparation

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Area of Science:

  • Systems biology
  • Analytical chemistry
  • Biochemistry

Background:

  • Metabolomics is integral to systems biology, offering insights into biological processes.
  • Despite advancements, challenges persist in sample preparation, data processing, and interpretation.
  • Mass spectrometry (MS)-based metabolomics requires robust sample preparation for accurate results.

Purpose of the Study:

  • To review the critical role of sample preparation in MS-based metabolomics.
  • To identify current challenges and emerging trends in metabolomic sample preparation.
  • To critically evaluate novel sample preparation techniques.

Main Methods:

  • Literature review of recent advancements in metabolomics sample preparation.
  • Critical examination of techniques including laser microdissection, in vivo sampling, and dried blood spots.
  • Evaluation of energy-assisted (microwave, ultrasound) and enzyme-assisted extraction methods.
  • Assessment of microextraction techniques for metabolite analysis.

Main Results:

  • Identified key challenges in achieving high-quality, reproducible metabolomic data.
  • Highlighted the potential of novel techniques like laser microdissection and microextraction.
  • Demonstrated the impact of various preparation methods on metabolite recovery and data integrity.

Conclusions:

  • Sample preparation remains a bottleneck in MS-based metabolomics.
  • Emerging techniques offer promising solutions for improved metabolite profiling.
  • Further research and standardization are needed to optimize sample preparation protocols.