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Leveraging the HMBC to Facilitate Metabolite Identification
Fatema Bhinderwala
, Thao Vu
,
Thomas G. Smith
, Julian Kosacki
, Darrell D. Marshall
, Yuhang Xu
, Martha Morton
, Robert Powers
Chemistry (Twin Cities)
Research output
:
Contribution to journal
›
Article
›
peer-review
7
Scopus citations
Overview
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Keyphrases
Metabolic Profiling
100%
1H-13C
100%
Heteronuclear multiple Bond Correlation
100%
Two Dimensional
83%
TOCSY
50%
Heteronuclear Single Quantum Coherence
50%
Metabolite Assignment
50%
Metabolomics
33%
Pseudospectrum
33%
Natural Products
16%
Pulse Sequence
16%
Complex Mixtures
16%
13C Labeling
16%
Covariance
16%
Unique Information
16%
Spin Systems
16%
Connectivity Map
16%
Correlation Experiment
16%
Correlation Spectrum
16%
Carbon Backbone
16%
Non-uniform Sampling
16%
Common Metabolites
16%
Spectral Complexity
16%
Chemistry
Metabolite
100%
Heteronuclear Single Quantum Coherence
37%
Total Correlation Spectroscopy
37%
Metabolomics
25%
Spin System
12%
Pulse Sequence
12%
Complex Mixture
12%
Natural Product
12%
Material Science
Metabolite
100%
Correlation Spectroscopy
37%
Heteronuclear Single Quantum Correlation
37%
Pulse Sequence
12%
Spin System
12%
Feedstock
12%
Biochemistry, Genetics and Molecular Biology
Metabolite
100%
Correlation Spectroscopy
37%
Metabolomics
25%
Pulse Sequence
12%
Spin System
12%
Engineering
Multiple Bond
100%
Two Dimensional
83%
Earth and Planetary Sciences
Metabolite
100%
Decoupling
12%
Covariance
12%