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Related Concept Videos

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

2D NMR: Homonuclear Correlation Spectroscopy (COSY)

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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: 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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Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

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Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and reduce chemical noise during analyte detection. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called...
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Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

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A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
The monochromatic laser source, typically using visible or near-infrared radiation, generates a highly focused beam of light. This light interacts with the molecules of the sample, scattering some of the light. Liquid and gaseous samples are usually tested in ordinary glass capillaries, while solids can be analyzed as powders packed in capillaries or as potassium...
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2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)01:19

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

1.6K
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...
1.6K
¹³C NMR: ¹H–¹³C Decoupling01:04

¹³C NMR: ¹H–¹³C Decoupling

2.1K
The probability of having two carbon-13 atoms next to each other is negligible because of the low natural abundance of carbon-13. Consequently, peak splitting due to carbon-carbon spin-spin coupling is not observed in spectra. However, protons up to three sigma bonds away split the carbon signal according to the n+1 rule, resulting in complicated spectra.
A broadband decoupling technique is used to simplify these complex, sometimes overlapping, signals. Broadband decoupling relies on a...
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Compressed Sensing for Multidimensional Spectroscopy Experiments.

Jacob N Sanders1, Semion K Saikin1, Sarah Mostame1

  • 1†Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts 02138, United States.

The Journal of Physical Chemistry Letters
|August 22, 2015
PubMed
Summary
This summary is machine-generated.

Compressed sensing significantly enhances spectral resolution in multidimensional spectroscopy. This advanced signal processing technique allows for accurate data analysis with minimal measurements, improving ultrafast spectroscopy interpretation.

Keywords:
optical spectroscopyrandom samplingsparse signal reconstructionspectral analysis

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Area of Science:

  • Physical Sciences
  • Spectroscopy
  • Signal Processing

Background:

  • Compressed sensing is a signal processing technique that reduces data acquisition requirements.
  • Multidimensional spectroscopy generates complex datasets requiring high resolution for accurate analysis.
  • Traditional methods like discrete Fourier transform can be computationally intensive and data-hungry.

Purpose of the Study:

  • To develop and apply a two-dimensional compressed sensing method for multidimensional spectroscopy.
  • To evaluate the performance of compressed sensing against conventional methods in spectral resolution.
  • To assess the feasibility of using random undersampling with compressed sensing for spectroscopic data.

Main Methods:

  • Development of a two-dimensional compressed sensing algorithm tailored for spectroscopy.
  • Application of the algorithm to experimental data from atomic rubidium vapor.
  • Comparison of spectral resolution achieved by compressed sensing versus discrete Fourier transform.
  • Investigation of data acquisition reduction through random undersampling.

Main Results:

  • Compressed sensing achieved an order-of-magnitude (approx. 10-fold) improvement in spectral resolution compared to discrete Fourier transform.
  • The method enabled accurate spectral resolution even with data undersampled to less than 5% of the full dataset.
  • No significant loss in spectral resolution was observed with substantial data undersampling.

Conclusions:

  • Two-dimensional compressed sensing offers a powerful and efficient approach for analyzing multidimensional spectroscopic data.
  • The technique significantly enhances spectral resolution and permits extensive data reduction through random undersampling.
  • Compressed sensing is a valuable tool for the analysis and interpretation of ultrafast spectroscopy, improving ease of use and data quality.