Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)01:19

2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)

1.2K
Heteronuclear single-quantum correlation spectroscopy (HSQC) is a 2D NMR technique that reveals one-bond correlations between hydrogen and a heteronucleus. The HSQC experiment is similar to the heteronuclear correlation experiment (HETCOR) but is more sensitive. In the HSQC spectrum, the proton chemical shift is plotted on the horizontal F2 axis, while the 13C chemical shift is plotted on the vertical F1 axis. The corresponding proton and 13C spectra are also shown. The HSQC contour plot does...
1.2K
2D NMR: Overview of Heteronuclear Correlation Techniques01:18

2D NMR: Overview of Heteronuclear Correlation Techniques

555
Heteronuclear correlation spectroscopy is an analytical technique that investigates the coupling between different types of nuclei, often a proton and an X-nucleus, such as carbon-13 or nitrogen-15. This method is commonly used in nuclear magnetic resonance (NMR) spectroscopy to gain insights into complex chemical compounds' structural and compositional aspects. A typical heteronuclear correlation spectrum displays X-nucleus chemical shifts on one axis and a proton spectrum on the other...
555
2D NMR: Overview of Homonuclear Correlation Techniques01:16

2D NMR: Overview of Homonuclear Correlation Techniques

459
Homonuclear correlation spectroscopy (COSY) is a powerful technique used in Nuclear Magnetic Resonance (NMR) spectroscopy to study the correlations between nuclei of the same type within a molecule. It provides information about scalar couplings between adjacent nuclei, which helps determine connectivity and structural information. There are several COSY variants, each with its unique strengths and experimental parameters.
COSY90 is the standard two-dimensional (2D) COSY experiment that...
459
2D NMR: Homonuclear Correlation Spectroscopy (COSY)01:06

2D NMR: Homonuclear Correlation Spectroscopy (COSY)

1.7K
Homonuclear correlation spectroscopy, or COSY, is a 2-dimensional NMR technique that provides information about coupled protons. Typically, the geminal and vicinal coupling are observed. For example, consider the COSY spectrum of ethyl acetate, where its 1D proton NMR spectrum is plotted along the vertical and horizontal axes with their corresponding chemical shift scale. Three spots on the diagonal corresponding to the three peaks in the 1D proton spectrum are called diagonal peaks. The COSY...
1.7K
¹H NMR: Complex Splitting01:13

¹H NMR: Complex Splitting

1.6K
A proton M that is coupled to a proton X results in doublet signals for M. However, NMR-active nuclei can be simultaneously coupled to more than one nonequivalent nucleus. When M is coupled to a second proton A, such as in styrene oxide, each peak in the doublet is split into another doublet.
Splitting diagrams or splitting tree diagrams are routinely used to depict such complex couplings. While drawing splitting diagrams, the splitting with the larger coupling constant is usually applied...
1.6K
High-Resolution Mass Spectrometry (HRMS)01:15

High-Resolution Mass Spectrometry (HRMS)

2.1K
The resolution of a mass spectrometer depends on the efficiency of separating ions with different ion masses. The mass of an atom is approximated to the sum of the masses of protons and neutrons inside, considering the masses of protons and neutrons as equal. However, the masses of the proton (1.6726 × 10−24 g) and neutron (1.6749 × 10−24 g) are not truly equal. There is a minor error in the expression of atomic masses relative to the simplest atom of hydrogen. For...
2.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Immune-proteo-metabolomic changes link to Aβ and tau pathology in Alzheimer disease.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

Exploring UVA1-Induced Metabolic Effects in Different In Vitro, Ex Vivo, and In Vivo Systems.

Metabolites·2026
Same author

Simultaneous determination of free and total metabolite concentrations in proteinaceous specimens by 1D <sup>1</sup>H CPMG NMR.

Cell reports methods·2026
Same author

MetaboSERV-a platform for selecting, exchanging, and visualizing metabolomics data with controlled data access.

GigaScience·2025
Same author

Metformin modulates microbiota and improves blood pressure and cardiac remodeling in a rat model of hypertension.

Acta physiologica (Oxford, England)·2024
Same author

Spatial Cellular Networks from omics data with SpaCeNet.

Genome research·2024

Related Experiment Video

Updated: Dec 1, 2025

An HS-MRM Assay for the Quantification of Host-cell Proteins in Protein Biopharmaceuticals by Liquid Chromatography Ion Mobility QTOF Mass Spectrometry
11:09

An HS-MRM Assay for the Quantification of Host-cell Proteins in Protein Biopharmaceuticals by Liquid Chromatography Ion Mobility QTOF Mass Spectrometry

Published on: April 17, 2018

10.5K

Robust Metabolite Quantification from J-Compensated 2D 1H-13C-HSQC Experiments.

Alexander Weitzel1, Claudia Samol1, Peter J Oefner1

  • 1Institute of Functional Genomics, University of Regensburg, 93053 Regensburg, Germany.

Metabolites
|November 11, 2020
PubMed
Summary

Quantitative 1H-13C-HSQC NMR methods accurately quantify abundant metabolites. However, QUIPU-HSQC struggles with low abundant metabolites due to increased water signals, limiting its use in high-throughput metabolomics.

Keywords:
HSQCNMRQ-HSQCQUIPU-HSQCcryoprobemetabolomicsquantificationwater suppression

More Related Videos

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
10:37

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

12.4K
A Strategy for Sensitive, Large Scale Quantitative Metabolomics
14:18

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

21.4K

Related Experiment Videos

Last Updated: Dec 1, 2025

An HS-MRM Assay for the Quantification of Host-cell Proteins in Protein Biopharmaceuticals by Liquid Chromatography Ion Mobility QTOF Mass Spectrometry
11:09

An HS-MRM Assay for the Quantification of Host-cell Proteins in Protein Biopharmaceuticals by Liquid Chromatography Ion Mobility QTOF Mass Spectrometry

Published on: April 17, 2018

10.5K
Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
10:37

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

12.4K
A Strategy for Sensitive, Large Scale Quantitative Metabolomics
14:18

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

21.4K

Area of Science:

  • Metabolomics
  • Nuclear Magnetic Resonance (NMR) Spectroscopy

Background:

  • 2D 1H-13C heteronuclear single quantum coherence (HSQC) NMR provides spectral resolution for metabolite identification and quantification.
  • Quantification in NMR metabolomics is challenged by magnetization transfer variations, primarily due to scalar coupling differences.

Purpose of the Study:

  • To evaluate the quantitative accuracy of HSQC, quantitative HSQC (Q-HSQC), and Quantitative, Perfected and Pure Shifted HSQC (QUIPU-HSQC) methods.
  • To compare the performance of these NMR techniques across physiological concentration ranges of metabolites.

Main Methods:

  • Utilized a 600 MHz NMR spectrometer with a helium-cooled cryoprobe.
  • Employed a Latin-square design to test quantification of 10 metabolites at varying concentrations.
  • Compared standard HSQC, Q-HSQC, and QUIPU-HSQC pulse sequences.

Main Results:

  • All three methods (HSQC, Q-HSQC, QUIPU-HSQC) demonstrated suitability for quantifying highly abundant metabolites.
  • QUIPU-HSQC exhibited a substantially increased residual water signal.
  • The elevated water signal in QUIPU-HSQC spectra hindered the quantification of low-abundance metabolites near this signal.

Conclusions:

  • HSQC and Q-HSQC are effective for quantifying abundant metabolites in NMR-based metabolomics.
  • QUIPU-HSQC's utility is limited in high-throughput metabolite fingerprinting due to interference from residual water signals affecting low-abundant metabolite quantification.