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Related Concept Videos

2D NMR: Overview of Heteronuclear Correlation Techniques01:18

2D NMR: Overview of Heteronuclear Correlation Techniques

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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...
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2D NMR: Overview of Homonuclear Correlation Techniques01:16

2D NMR: Overview of Homonuclear Correlation Techniques

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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...
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2D NMR: Homonuclear Correlation Spectroscopy (COSY)01:06

2D NMR: Homonuclear Correlation Spectroscopy (COSY)

1.8K
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...
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2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)01:19

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

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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...
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Two-Dimensional (2D) NMR: Overview01:12

Two-Dimensional (2D) NMR: Overview

1.4K
The 1D NMR spectrum of large and complex molecules like natural products has complicated splitting patterns and overlapping signals, which can be easily interpreted using 2-dimensional (2D) NMR. Unlike 1D NMR, 2D NMR has two frequency axes that provide the coupling information between the nucleus A and nucleus B in a molecule. The process from which 2D spectra are obtained has four steps.
The first step is the preparation period, during which nucleus A is excited with a radiofrequency pulse....
1.4K
IR Spectroscopy: Molecular Vibration Overview01:24

IR Spectroscopy: Molecular Vibration Overview

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When Infrared (IR) radiation passes through a covalently bonded molecule, the bonds transition from lower to higher vibrational levels. The fundamental vibrational motions that result in infrared absorption can be classified as stretching or bending vibrations.
Stretching vibrations are vibrational motions that occur along the bond line, changing the bond length or distance between two bonded atoms. They are further distinguished as symmetric or asymmetric. In symmetric stretching, the...
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Structure and Coordination Determination of Peptide-metal Complexes Using 1D and 2D 1H NMR
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PC 2D-COS: A Principal Component Base Approach to Two-Dimensional Correlation Spectroscopy.

Julian Hniopek1,2, Michael Schmitt2, Jürgen Popp1,2

  • 1Department of Spectroscopy/Imaging, Leibniz Institute of Photonic Technologies, Jena, Germany.

Applied Spectroscopy
|February 20, 2020
PubMed
Summary

A new method, principal component powered two-dimensional (2D) correlation spectroscopy (PC 2D-COS), simplifies complex spectral data analysis. This technique offers computational efficiency and noise reduction for advanced spectroscopic studies.

Keywords:
2D-COSPCATwo-dimensional correlation spectroscopyprincipal component analysis

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Area of Science:

  • Spectroscopy
  • Chemometrics
  • Data Analysis

Background:

  • Traditional 2D correlation spectroscopy (2D-COS) is computationally intensive.
  • High-resolution or large spectroscopic datasets pose challenges for conventional analysis.
  • Dimensionality reduction techniques can potentially improve efficiency.

Purpose of the Study:

  • Introduce principal component powered 2D correlation spectroscopy (PC 2D-COS) as an efficient alternative.
  • Demonstrate the equivalence and advantages of PC 2D-COS over traditional 2D-COS.
  • Highlight the noise rejection capabilities of PC 2D-COS.

Main Methods:

  • Applied Principal Component Analysis (PCA) for dimensionality reduction.
  • Developed PC 2D-COS by integrating PCA with 2D correlation spectroscopy.
  • Utilized truncated PCA for enhanced noise filtering.

Main Results:

  • PC 2D-COS achieves results equivalent to traditional 2D-COS.
  • Significant reduction in computational complexity and memory usage was observed.
  • Effective noise rejection was demonstrated by limiting the principal components used.
  • Successful application to a temperature-dependent Raman spectroscopic dataset of a fullerene-anthracene adduct.

Conclusions:

  • PC 2D-COS provides a computationally efficient and memory-saving approach to 2D correlation spectroscopy.
  • The method is suitable for high-resolution or large spectroscopic datasets.
  • PC 2D-COS offers robust noise rejection, preserving relevant information in complex data.