International NMR-based environmental metabolomics intercomparison exercise

From National Research Council Canada

DOI	Resolve DOI: https://doi.org/10.1021/es802198z
Author	Search for: Viant, Mark R.; Search for: Bearden, Daniel W.; Search for: Bundy, Jacob G.; Search for: Burton, Ian W.¹; Search for: Collette, Timothy W.; Search for: Ekman, Drew R.; Search for: Ezernieks, Vilnis; Search for: Karakach, Tobias K.²; Search for: Lin, Ching Y.; Search for: Rochfort, Simone; Search for: de Ropp, Jeffrey S.; Search for: Teng, Quincy; Search for: Tjeerdema, Ronald S.; Search for: Walter, John A.²; Search for: Wu, Huifengh
Name affiliation	National Research Council of Canada. Aquatic and Crop Resource Development National Research Council of Canada. Measurement Science and Standards
Format	Text, Article
Abstract	Several fundamental requirements must be met so that NMR-based metabolomics and the related technique of metabonomics can be formally adopted into environmental monitoring and chemical risk assessment. Here we report an intercomparison exercise which has evaluated the effectiveness of 1H NMR metabolomics to generate comparable data sets from environmentally derived samples. It focuses on laboratory practice that follows sample collection and metabolite extraction, specifically the final stages of sample preparation, NMR data collection (500, 600, and 800 MHz), data processing, and multivariate analysis. Seven laboratories have participated from the U.S.A., Canada, U.K., and Australia, generating a total of ten data sets. Phase 1 comprised the analysis of synthetic metabolite mixtures, while Phase 2 investigated European flounder (Platichthys flesus) liver extracts from clean and contaminated sites. Overall, the comparability of data sets from the participating laboratories was good. Principal components analyses (PCA) of the individual data sets yielded ten highly similar scores plots for the synthetic mixtures, with a comparable result for the liver extracts. Furthermore, the same metabolic biomarkers that discriminated fish from clean and contaminated sites were discovered by all the laboratories. PCA of the combined data sets showed excellent clustering of the multiple analyses. These results demonstrate that NMR-based metabolomics can generate data that are sufficiently comparable between laboratories to support its continued evaluation for regulatory environmental studies.
Publication date	2009
In	Environmental Science & Technology 43, no. 1 (2009): 219–225.
Language	English
Peer reviewed	Yes
NRC number	NRCC 42801 1787
NPARC number	3538425
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Record identifier	f92a20ce-044e-4edb-abfc-810ff4578805
Record created	2009-03-01
Record modified	2020-04-16

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