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Related Concept Videos

Applications Of NMR In Biology01:25

Applications Of NMR In Biology

Nuclear magnetic resonance (NMR) spectroscopy is a very valuable analytical technique for researchers. It has been used for more than 50 years as an analytical tool. F. Bloch and E. Purcell formulated NMR in 1946 and won the 1952 Nobel Prize in Physics  for their work. Biological macromolecules such as proteins, nucleic acids, lipids, and organic molecules including pharmaceutical compounds, can be studied using this versatile tool that exploits the magnetic properties of certain nuclei.
The...
Proteomics01:33

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term proteomics...
Nuclear Magnetic Resonance (NMR): Overview01:07

Nuclear Magnetic Resonance (NMR): Overview

Nuclear magnetic resonance (NMR) is a phenomenon exhibited by certain nuclei that can absorb characteristic radio frequency radiation under certain conditions. NMR has been extensively applied in molecular spectroscopy and medical diagnostic imaging. In both these applications, the molecule or subject under study is placed in a magnetic field and irradiated with radio frequency energy.
NMR spectroscopy generates a spectrum where the characteristic absorption frequencies of the sample are...
Double Resonance Techniques: Overview01:12

Double Resonance Techniques: Overview

Double resonance techniques in Nuclear Magnetic Resonance (NMR) spectroscopy involve the simultaneous application of two different frequencies or radiofrequency pulses to manipulate and observe two distinct nuclear spins. One important application of double resonance is spin decoupling, which selectively suppresses coupling with one type of nucleus while observing the NMR signal from another nucleus, simplifying the spectrum and enhancing resolution.
Spin decoupling is usually achieved by...

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Related Experiment Video

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Assessing Hepatic Metabolic Changes During Progressive Colonization of Germ-free Mouse by 1H NMR Spectroscopy
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Nuclear magnetic resonance metabonomic profiling using tO2PLS.

Gemma M Kirwan1, Timothy Hancock, Kathryn Hassell

  • 1Department of Chemistry, School of Applied Sciences, RMIT University, City Campus, Vic 3001, Australia. gemma.kirwan@gmail.com

Analytica Chimica Acta
|May 21, 2013
PubMed
Summary

This study used nuclear magnetic resonance (NMR) and a new tO2PLS method to analyze fish plasma. It identified trimethylamine-N-oxide (TMAO) and choline as biomarkers for 17β-estradiol exposure.

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Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics

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Area of Science:

  • Environmental toxicology
  • Metabolomics
  • Analytical chemistry

Background:

  • 17β-estradiol is an endocrine-disrupting chemical.
  • Metabonomic profiling can detect metabolic changes in organisms.
  • Nuclear Magnetic Resonance (NMR) is a key technique in metabolomics.

Purpose of the Study:

  • To develop and apply a novel statistical method (tO2PLS) for analyzing NMR-based metabonomic data.
  • To identify metabolic biomarkers in black bream exposed to 17β-estradiol.
  • To provide a visual method for comparing metabolic profiles.

Main Methods:

  • Blood plasma metabonomic profiling using NMR spectroscopy.
  • Application of a novel tO2PLS (transposed Orthogonal 2 Projection to Latent Structures) analysis.
  • Statistical analysis to differentiate control and exposed fish groups.

Main Results:

  • The tO2PLS method effectively distinguished metabolic profiles between control and 17β-estradiol exposed fish.
  • Trimethylamine-N-oxide (TMAO) and choline were identified as potential biomarkers.
  • The study demonstrated a visual approach for assessing spectral similarities and differences.

Conclusions:

  • tO2PLS is a valuable tool for analyzing complex metabonomic datasets.
  • TMAO and choline show promise as biomarkers for 17β-estradiol exposure in fish.
  • This approach enhances the interpretation of spectroscopic data in environmental monitoring.