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Title Exploring matrix effects and quantification performance in metabolomics experiments using artificial biological gradients
Description We introduce a powerful approach that provides semiquantitative calibration curves over a biologically defined concentration range for all detected compounds. By performing metabolomics on a stepwise gradient between two biological specimens, we obtain a data set where each peak would ideally show a linear dependency on the mixture ratio. An example gradient between extracts of tomato leaf and fruit demonstrates good calibration statistics for a large proportion of the peaks but also highlights cases with strong background-dependent signal interference. Analysis of artificial biological gradients is a general and inexpensive tool for calibration that greatly facilitates data interpretation, quality control and method comparisons.
Authors Henning Redestig, Makoto Kobayashi, Kazuki Saito, Miyako Kusano
Reference Henning R et al. (2011) Analytical Chemistry 83: 5645-5651

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The raw data files are available at DROP Met web site in PRIMe database of RIKEN.

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