Reference Standardization for Quantification and Harmonization of Large-Scale Metabolomics

Ken H. Liu, Mary Nellis, Karan Uppal, Chunyu Ma, Vi Linh Tran, Yongliang Liang, Douglas I. Walker, Dean P. Jones

Research output: Contribution to journalArticlepeer-review

80 Scopus citations


Reference standardization was developed to address quantification and harmonization challenges for high-resolution metabolomics (HRM) data collected across different studies or analytical methods. Reference standardization relies on the concurrent analysis of calibrated pooled reference samples at predefined intervals and enables a single-step batch correction and quantification for high-throughput metabolomics. Here, we provide quantitative measures of approximately 200 metabolites for each of three pooled reference materials (220 metabolites for Qstd3, 211 metabolites for CHEAR, 204 metabolites for NIST1950) and show application of this approach for quantification supports harmonization of metabolomics data collected from 3677 human samples in 17 separate studies analyzed by two complementary HRM methods over a 17-month period. The results establish reference standardization as a method suitable for harmonizing large-scale metabolomics data and extending capabilities to quantify large numbers of known and unidentified metabolites detected by high-resolution mass spectrometry methods.

Original languageEnglish
Pages (from-to)8836-8844
Number of pages9
JournalAnalytical Chemistry
Issue number13
StatePublished - 7 Jul 2020


Dive into the research topics of 'Reference Standardization for Quantification and Harmonization of Large-Scale Metabolomics'. Together they form a unique fingerprint.

Cite this