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Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
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Derivatization methods for LC-MS analysis of endogenous compounds.

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Chemical derivatization enhances liquid chromatography-mass spectrometry (LC-MS) analysis of endogenous compounds. This technique improves sensitivity and selectivity for studying physiological and pathological events.

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Area of Science:

  • Analytical Chemistry
  • Biochemistry
  • Biomedical Science

Background:

  • Accurate analysis of endogenous compounds is vital for physiological and pathological research.
  • Liquid chromatography-mass spectrometry (LC-MS) is the preferred method for endogenous compound analysis.
  • Challenges include low analyte concentrations, ionization efficiency, chromatography, and biological interferences.

Purpose of the Study:

  • To review derivatization strategies for LC-MS analysis of endogenous compounds.
  • To highlight the impact of derivatization techniques in evaluating pathological events.

Main Methods:

  • Review of chemical derivatization strategies.
  • Integration of derivatization with LC-MS.
  • Application-based examples in pathological studies.

Main Results:

  • Chemical derivatization significantly enhances sensitivity and selectivity in LC-MS.
  • Expanded applicability of LC-MS to a broader range of endogenous analytes.
  • Demonstrated utility in assessing pathological conditions.

Conclusions:

  • Derivatization is a powerful tool to overcome LC-MS limitations for endogenous compound analysis.
  • These techniques are crucial for advancing our understanding of disease mechanisms.
  • Chemical derivatization coupled with LC-MS offers improved diagnostic and research capabilities.