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Related Concept Videos

NMR Spectroscopy of Aromatic Compounds01:14

NMR Spectroscopy of Aromatic Compounds

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Aromatic compounds can be identified or analyzed using proton NMR and carbon‐13 NMR. Typically, aromatic hydrogens or hydrogens directly bonded to the aromatic rings are strongly deshielded by the aromatic ring current. Therefore, they absorb in the range of 6.5–8.0 ppm in proton NMR spectra. For instance, aromatic hydrogens directly bonded to the benzene ring absorb at 7.3 ppm. However, aromatic hydrogens of larger rings absorb farther upfield or downfield than the ideal range.
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¹H NMR Signal Integration: Overview00:58

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The intensity of a signal, which can be represented by the area under the peak, depends on the number of protons contributing to that signal. The area under each peak is shown as a vertical line called an integral, with the integral value listed under it, as seen in the proton NMR spectrum of benzyl acetate. Each integral value is divided by the smallest integral value to obtain the ratio of the number of protons producing each signal. The ratio reveals the relative number of protons and not...
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2D NMR: Overview of Heteronuclear Correlation Techniques01:18

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

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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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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

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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.
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Exploring correlations between MS and NMR for compound identification using essential oils: A pilot study.

Ricardo Moreira Borges1, João Victor Mendes Resende1, Açucena Pucu Pinto1

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Summary

Statistical Total Correlation (STOCSY) enhances compound identification by linking mass spectrometry (MS) and nuclear magnetic resonance (NMR) data. This integrated approach provides higher confidence in analyzing complex natural product mixtures.

Keywords:
GC-MSNMRSTOCSYcompound identificationdata fusiondereplicationessential oilsmetabolomicsstatistical heterospectroscopy

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Area of Science:

  • Natural Products Chemistry
  • Analytical Chemistry
  • Metabolomics

Background:

  • 'Omics' technologies necessitate integrated analytical approaches for natural product studies.
  • Mass spectrometry (MS) and nuclear magnetic resonance (NMR) offer complementary data for compound identification.
  • Statistical methods can link MS and NMR data for increased confidence in results.

Purpose of the Study:

  • To demonstrate the utility of Statistical Total Correlation (STOCSY) for integrating MS and NMR data.
  • To achieve higher confidence in compound identification through data correlation.
  • To establish a robust pipeline for natural product analysis.

Main Methods:

  • Essential oils from Melaleuca alternifolia and M. rhaphiophylla were analyzed.
  • Gas Chromatography-Mass Spectrometry (GC-MS) and various NMR techniques (¹H, ¹³C, 2D HSQC, HMBC, HSQC-TOCSY) were employed.
  • Processed data was analyzed using STOCSY in Matlab.

Main Results:

  • STOCSY successfully confirmed the four main constituents in the essential oil samples.
  • Compound identification was achieved by correlating MS spectra, retention times, ¹³C-NMR, and 2D NMR scalar correlations.
  • The study validated the power of STOCSY in linking diverse analytical data.

Conclusions:

  • A reliable pipeline for high-confidence compound identification using integrated MS and NMR data was established.
  • The methodology demonstrated is effective for analyzing complex essential oil matrices.
  • This approach significantly boosts confidence in natural product characterization.