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Related Concept Videos

¹H NMR: Complex Splitting01:13

¹H NMR: Complex Splitting

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A proton M that is coupled to a proton X results in doublet signals for M. However, NMR-active nuclei can be simultaneously coupled to more than one nonequivalent nucleus. When M is coupled to a second proton A, such as in styrene oxide, each peak in the doublet is split into another doublet.
Splitting diagrams or splitting tree diagrams are routinely used to depict such complex couplings. While drawing splitting diagrams, the splitting with the larger coupling constant is usually applied...
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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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In the AX proton spin system, proton A can sense the two spin states of a coupled proton X, resulting in a doublet NMR signal with two peaks of equal (1:1) intensity. When proton A is coupled to two equivalent protons (AX2 spin system), the spin states of each X can be aligned with or against the external field, creating three possible scenarios. This results in a 1:2:1  triplet signal, where the central peak corresponds to the chemical shift of A and is twice as large or intense as the...
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Atomic Absorption Spectroscopy: Interference01:25

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Interference leads to systematic error in atomic absorption (AA) measurements by enhancing or diminishing the analytical signal or the background. These interferences can be grouped into three main categories: spectral interference, chemical interference, and physical interference.
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Electron Microscope Tomography and Single-particle Reconstruction01:07

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Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
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Updated: Nov 27, 2025

Atom Probe Tomography Analysis of Exsolved Mineral Phases
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Solving Peak Overlaps for Proximity Histogram Analysis of Complex Interfaces for Atom Probe Tomography Data.

Jens Keutgen1, Andrew J London2, Oana Cojocaru-Mirédin1

  • 1RWTH Aachen, I. Physikalisches Institut (1A), Aachen, Germany.

Microscopy and Microanalysis : the Official Journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada
|December 7, 2020
PubMed
Summary

Atom probe tomography analysis of nanostructures is improved by correcting proximity histograms using isotope abundances. This method enhances peak overlap resolution at interfaces for advanced materials analysis.

Keywords:
atom probe tomographyinterfaces

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Area of Science:

  • Materials Science
  • Nanotechnology
  • Analytical Chemistry

Background:

  • Atom probe tomography (APT) is crucial for analyzing nanostructures like interfaces and nanoparticles.
  • Existing APT analysis tools struggle with complex materials exhibiting significant mass spectral peak overlaps.
  • Peak overlap analysis in APT is typically limited to bulk regions, neglecting interfacial behavior.

Purpose of the Study:

  • To develop a method for correcting proximity histograms at material interfaces in APT.
  • To improve the accuracy of APT analysis for complex materials with overlapping mass spectra.
  • To enhance the resolution of APT-derived compositional and structural information at interfaces.

Main Methods:

  • Utilized natural isotope abundances to correct proximity histograms generated for APT interfaces.
  • Applied a maximum-likelihood algorithm for solving peak overlaps in mass-to-charge ratio spectra.
  • Integrated the corrected histograms and overlap-solving algorithm into a user-friendly software suite (EPOSA).

Main Results:

  • Achieved overlap-solved proximity histograms with a resolution as fine as 0.1 nm at interfaces.
  • Demonstrated a significant improvement in analyzing nanostructure composition and chemistry at curved interfaces.
  • Successfully addressed limitations of standard APT analysis tools in complex materials.

Conclusions:

  • The developed method effectively corrects proximity histograms using isotope abundances, enhancing APT interface analysis.
  • The EPOSA software suite provides a practical tool for high-resolution analysis of complex nanostructures.
  • This advancement enables more accurate characterization of materials at the nanoscale, particularly at interfaces.