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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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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...
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Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
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Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
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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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An unknown compound can be established by identifying the molecular ion peak in the mass spectrum. The molecular ion peak is often weak or absent due to the predominance of fragmentation in high-energy electron beams. In such cases, a low-energy electron beam can be used to scan the spectrum to enhance the intensity of the molecular ion peak. Additionally, chemical ionization, field ionization, and desorption ionization spectra are used to obtain a relatively intense molecular ion peak.
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HSQC Spectra Simulation and Matching for Molecular Identification.

Martin Priessner1, Richard J Lewis2, Magnus J Johansson1

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This study introduces advanced methods for simulating and matching heteronuclear single quantum coherence (HSQC) spectra, improving molecular identification and database searching accuracy for complex chemical structures.

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Area of Science:

  • Chemistry
  • Computational Chemistry
  • Spectroscopy

Background:

  • Heteronuclear Single Quantum Coherence (HSQC) spectra are crucial for molecular fingerprinting.
  • Balancing data richness and collection time is essential for efficient compound identification.

Purpose of the Study:

  • To evaluate and compare four HSQC spectral simulation techniques.
  • To develop and assess peak-matching and padding strategies for HSQC data.
  • To enhance molecular structure elucidation and database search capabilities.

Main Methods:

  • Evaluated ACD/Labs (ACD), MestReNova (MNova), Gaussian NMR (DFT), and a graph-based neural network (ML) for HSQC simulation.
  • Developed reconstruction logic for HSQC spectra from 1D NMR data (DFT and ML).
  • Implemented and tested minimum-sum, Euclidean-distance, and Hungarian distance matching with zero-padding, peak-truncated, and nearest-neighbor padding strategies.

Main Results:

  • Combined simulation and matching strategies accurately identified molecules, including regio- and stereoisomers.
  • Achieved fast and precise large-scale database searches.
  • Successfully corrected structures of previously misidentified molecules using the best-performing method.

Conclusions:

  • Effective HSQC spectral simulation and matching significantly aid molecular structure elucidation.
  • The developed methodologies offer practical tools for chemical research.
  • A Google Colab notebook is provided for researchers to apply these methods to their data.