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Updated: Mar 9, 2026

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

Elemental metabolomics.

Ping Zhang¹, Constantinos A Georgiou², Vladimir Brusic^1,3

¹Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD Australia.

Briefings in Bioinformatics

|January 13, 2017

Summary

This summary is machine-generated.

Elemental metabolomics quantifies elements in biological samples using advanced mass spectrometry. This emerging field aids medical diagnostics, nutrition, and environmental science by analyzing elemental changes and interactions.

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Published on: July 11, 2014

Area of Science:

Biochemistry
Analytical Chemistry
Systems Biology

Background:

Elemental metabolomics involves quantifying and characterizing chemical elements in biological samples.
Interactions between elements, proteins, and nucleotides are crucial for cellular functions.
Advanced inductively coupled plasma mass spectrometry allows simultaneous measurement of over 70 elements.

Purpose of the Study:

To define elemental metabolomics concepts, standards, and workflows.
To propose minimum information standards for reporting elemental metabolomics experiments.
To review statistical and informatics tools and discuss applications.

Main Methods:

Utilizes inductively coupled plasma mass spectrometry for multi-element analysis.
Incorporates statistical and informatics tools for data analysis.
Focuses on quantification and characterization of elemental concentrations in biological matrices.

Main Results:

Simultaneous measurement of >70 elements is feasible in biological samples.
Testing for >40 elements in bodily fluids and tissues is becoming routine in medical labs.
Elemental metabolomics provides insights into element interactions and their biological roles.

Conclusions:

Elemental metabolomics is an emerging technology with broad applications.
It has significant potential in medical diagnostics, nutrition, agriculture, and environmental science.
Standardization of reporting is proposed to facilitate data interpretation and comparability.