Summary of Study ST001777

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench,, where it has been assigned Project ID PR001131. The data can be accessed directly via it's Project DOI: 10.21228/M8HD7B This work is supported by NIH grant, U2C- DK119886.


This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST001777
Study TitleComparison of High-Resolution Fourier Transform Mass Spectrometry Platforms for Metabolite Annotation - C. elegans
Study TypeMS based metabolomics
Study SummaryFourier transform ion cyclotron resonance (FT-ICR) and Orbitrap mass spectrometry (MS) are among the highest-performing analytical platforms in metabolomics. Their high mass measurement accuracy and mass resolving power enable detailed investigation of biological metabolomes. Non-targeted MS experiments, however, yield extremely complex datasets that make metabolite annotation very challenging, if not impossible. High-resolution accurate mass measurements greatly facilitate this process by reducing mass errors and spectral overlaps. When applied together with relative isotopic abundance (RIA) measurements, heuristic rules, and constraints during searches, the number of candidate elemental formula(s) can be significantly reduced. Here, we evaluate the performance of two leading analytical MS platforms, Orbitrap ID-X and 12T solariX FT-ICR mass spectrometers, in terms of mass accuracy and RIA measurements, and how these factors affect the assignment of the correct elemental formulae in metabolite annotation. Quality of the mass measurements was evaluated under various experimental conditions (resolution: 120 K, 240 K, 500 K; automatic gain control: 5e4, 1e5, 5e5) for the Orbitrap MS platform.
Georgia Institute of Technology
Last NameHuang
First NameDanning
Address901 Atlantic Dr NE
Submit Date2021-05-05
Raw Data AvailableYes
Raw Data File Type(s)raw(Thermo)
Analysis Type DetailLC-MS
Release Date2022-05-05
Release Version1
Danning Huang Danning Huang application/zip

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Subject ID:SU001854
Subject Type:Synthetic sample