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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: Jun 22, 2026

A Versatile Automated Platform for Micro-scale Cell Stimulation Experiments

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Published on: August 6, 2013

Automated Platform for Mass-Spectrometry-Based Multiomics Analysis from Small Volumes of Biofluids.

Mingyang Li¹, Yifan Zhou¹, Zhiqi Liu¹

¹Institute of Microphysiological Systems, Nantong First People's Hospital, State Key Laboratory ofDigital Medical Engineering, School of Biological Science and Medical Engineering, SoutheastUniversity, Nanjing 210096, China.

Analytical Chemistry

|March 27, 2026

Summary

This study introduces an automated multiomics workflow for sequential enrichment of extracellular vesicle proteins (EVPs), secreted proteins (SPs), and metabolites from single biofluid samples, enabling high-throughput analysis for biomarker discovery.

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Last Updated: Jun 22, 2026

A Versatile Automated Platform for Micro-scale Cell Stimulation Experiments

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Area of Science:

Biochemistry
Proteomics
Metabolomics

Background:

Traditional mass spectrometry requires labor-intensive, manual sample preparation with separate workflows for proteins and metabolites.
This limits large-scale studies and risks depleting precious microsamples.
A need exists for integrated, automated sample preparation for multiomics analysis.

Purpose of the Study:

To develop and validate an automated, integrated multiomics workflow for sequential enrichment of extracellular vesicle proteins (EVPs), secreted proteins (SPs), and metabolites from a single biofluid sample.
To assess the workflow's scalability, reliability, and efficiency for high-throughput sample preparation.
To demonstrate the workflow's utility in identifying multiomics patterns related to biological responses.

Main Methods:

Development of an automated liquid-handling and sample-preparation system for sequential enrichment.
Application of the workflow to urine samples (1 mL) for EVP, SP, and metabolite identification.
Testing the workflow on immune organoid culture media (100 μL) stimulated with respiratory syncytial virus.

Main Results:

The workflow identified 2,287 EVPs, 1,759 SPs, and 1,122 metabolites from 1 mL of urine.
High reproducibility was observed with >82% protein overlap across replicates, coefficient of variation <6%, and Pearson correlations >0.86.
Multiomics patterns consistent with immune response stages were detected in stimulated organoid culture media.

Conclusions:

The automated system-based multiomics workflow offers a scalable and reliable solution for high-throughput sample preparation.
This integrated approach overcomes limitations of traditional methods, enabling comprehensive molecular profiling.
The workflow has broad utility in clinical research, biomarker discovery, and translational studies.