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Related Concept Videos

Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

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When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
Different compounds display unique properties due to their...
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¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

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When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
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IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration01:16

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A covalently bonded heteronuclear diatomic molecule can be modeled as two vibrating masses connected by a spring. The vibrational frequency of the bond can be expressed using an equation derived from Hooke's law, which describes how the force applied to stretch or compress a spring is proportional to the displacement of the spring. In this case, the atoms behave like masses, and the bond acts like a spring.
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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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IR and UV–Vis Spectroscopy of Aldehydes and Ketones01:29

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Infrared spectroscopy, also known as vibrational spectroscopy, is mainly used to determine the types of bonds and functional groups in molecules. In aldehydes and ketones, the carbonyl (C=O) bond shows an absorption around 1710 cm-1. The C=O bond vibration of an aldehyde occurs at lower frequencies than that of a ketone. In addition to the C=O absorption in an aldehyde, the aldehydic C–H bond also gives two peaks in the 2700–2800 cm-1 range. This absorption, coupled with the...
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Line Shape Analysis of Dynamic NMR Spectra for Characterizing Coordination Sphere Rearrangements at a Chiral Rhenium Polyhydride Complex
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Machine Learning for Quantitative Structural Information from Infrared Spectra: The Case of Palladium Hydride.

Oleg Usoltsev1, Andrei Tereshchenko2, Alina Skorynina1

  • 1ALBA Synchrotron, Cerdanyola del Valles, Barcelona, 08290, Spain.

Small Methods
|January 31, 2024
PubMed
Summary

This study introduces a novel machine learning method to extract quantitative structural details from infrared (IR) spectra. This technique analyzes vibrational modes to determine molecular structures, offering new possibilities for IR spectroscopy applications.

Keywords:
EXAFSdriftsmachine learningpalladium hydrides

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Area of Science:

  • Spectroscopy
  • Materials Science
  • Computational Chemistry

Background:

  • Infrared (IR) spectroscopy identifies molecules via characteristic vibrational modes.
  • Current interpretation relies on comparing spectra to references or calculations (fingerprint paradigm).
  • Extracting quantitative structural information directly from IR spectra is challenging.

Purpose of the Study:

  • To demonstrate a machine learning (ML) approach for extracting quantitative structural information from IR spectra.
  • To move beyond the traditional fingerprint paradigm in IR spectral interpretation.
  • To reconstruct palladium hydride (Pd-H) pressure-composition isotherms using in situ IR data.

Main Methods:

  • Application of machine learning (ML) algorithms to analyze IR spectral data.
  • In situ diffuse reflectance infrared spectroscopy using carbon monoxide (CO) as a probe molecule.
  • Reconstruction of pressure-composition isotherms based on fine spectral structure analysis.

Main Results:

  • Successful reconstruction of Pd-H pressure-composition isotherms from IR data.
  • Demonstration of extracting continuous structural descriptors, including interatomic distances and stoichiometric coefficients, from vibrational spectra.
  • First reported instance of determining continuous structural descriptors directly from the fine structure of vibrational spectra.

Conclusions:

  • The developed ML method enables quantitative structural analysis from IR spectra.
  • This approach offers new possibilities for utilizing IR spectroscopy beyond traditional identification methods.
  • The study highlights the potential of vibrational spectroscopy coupled with ML for advanced materials characterization.