Analytical Error Reduction Using Single Point Calibration for Accurate and Precise Metabolomic Phenotyping

Analytical errors caused by suboptimal performance of the chosen platform for a number of metabolites and instrumental drift are a major issue in large-scale metabolomics studies. Especially for MS-based methods, which are gaining common ground within metabolomics, it is difficult to control the ana...

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Bibliographic Details
Published in:Journal of proteome research 2009-11, Vol.8 (11), p.5132-5141
Main Authors: van der Kloet, Frans M, Bobeldijk, Ivana, Verheij, Elwin R, Jellema, Renger H
Format: Article
Language:English
Subjects:
Algorithms
Calibration - standards
Mass Spectrometry - methods
Metabolomics - methods
Metabolomics - standards
Phenotype
Quality Control
Reproducibility of Results
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Summary:Analytical errors caused by suboptimal performance of the chosen platform for a number of metabolites and instrumental drift are a major issue in large-scale metabolomics studies. Especially for MS-based methods, which are gaining common ground within metabolomics, it is difficult to control the analytical data quality without the availability of suitable labeled internal standards and calibration standards even within one laboratory. In this paper, we suggest a workflow for significant reduction of the analytical error using pooled calibration samples and multiple internal standard strategy. Between and within batch calibration techniques are applied and the analytical error is reduced significantly (increase of 25% of peaks with RSD lower than 20%) and does not hamper or interfere with statistical analysis of the final data.
ISSN:1535-3893
1535-3907
DOI:10.1021/pr900499r