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Mass Spectrometry: Complex Analysis

Mass Spectrometry: Complex Analysis

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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Related Experiment Video

Updated: Nov 23, 2025

Sample Preparation for Single Cell Mass Spectrometry Metabolomics Studies: Combined Cell Washing, Quenching, Drying, and Storage

Sample Preparation for Single Cell Mass Spectrometry Metabolomics Studies: Combined Cell Washing, Quenching, Drying, and Storage

Published on: September 16, 2025

Single cell metabolomics using mass spectrometry: Techniques and data analysis.

Renmeng Liu¹, Zhibo Yang²

¹Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA; Alliance Pharma. Inc., Malvern, PA, 19355, USA.

Analytica Chimica Acta

|January 1, 2021

Summary

This summary is machine-generated.

Single cell mass spectrometry (MS) enables detailed analysis of cellular metabolism, revealing cell-to-cell variations. This review highlights MS techniques and data analysis for advancing single cell metabolomics research.

Keywords:

Biological variance vs technical variance Machine learning Single cell mass spectrometry Single cell metabolomics Univariate and multivariate analysis Vacuum-based and ambient mass spectrometry

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Published on: December 22, 2017

Area of Science:

Biochemistry
Analytical Chemistry
Cell Biology

Background:

Mass spectrometry (MS) is increasingly vital for metabolomics due to its sensitivity and identification capabilities.
Exploring cellular metabolism at the single cell level reveals crucial cell heterogeneity and biological insights.
Single cell metabolomics offers a powerful approach to understand complex biological systems.

Purpose of the Study:

To review recent advancements in single cell mass spectrometry experimental techniques.
To emphasize the critical data analysis approaches for single cell metabolomics.
To explore the future potential applications of single cell metabolomics in clinical and translational research.

Main Methods:

Summary of recent single cell MS experimental techniques.
Emphasis on statistical and advanced data analysis methods for single cell metabolomics.
Discussion of the integration of experimental and analytical methodologies.

Main Results:

Recent progress in single cell MS techniques provides enhanced sensitivity and resolution.
Advanced data analysis strategies are crucial for interpreting complex single cell metabolomics data.
Identification of cell-specific metabolic profiles and subpopulations is achievable.

Conclusions:

Single cell mass spectrometry is a transformative technology for metabolomics.
Effective data analysis is key to unlocking the full potential of single cell metabolomics.
This field holds significant promise for future translational and clinical applications.