One Step Forward for Reducing False Positive and False Negative Compound Identifications from Mass Spectrometry Metabolomics Data: New Algorithms for Constructing Extracted Ion Chromatograms and Detecting Chromatographic Peaks-Reference-Cited by-同舟云学术

One Step Forward for Reducing False Positive and False Negative Compound Identifications from Mass Spectrometry Metabolomics Data: New Algorithms for Constructing Extracted Ion Chromatograms and Detecting Chromatographic Peaks

Published:2017-08-17 Issue:17 Volume:89 Page:8696-8703
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Myers Owen D.¹,Sumner Susan J.²,Li Shuzhao³,Barnes Stephen⁴,Du Xiuxia¹^ORCID

Affiliation:

1. University of North Carolina at Charlotte, Charlotte, North Carolina 28223, United States

2. University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27514, United States

3. Emory University, Atlanta, Georgia 30322, United States

4. University of Alabama at Birmingham, Birmingham, Alabama 35294, United States

Funder

Division of Biological Infrastructure

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.7b00947

Reference51 articles.

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3. Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry

4. Current state-of-the-art of nontargeted metabolomics based on liquid chromatography–mass spectrometry with special emphasis in clinical applications

5. Mass spectrometry-based plant metabolomics: Metabolite responses to abiotic stress

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