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Related Experiment Video

Updated: Sep 3, 2025

Characterization of Nanocrystal Size Distribution using Raman Spectroscopy with a Multi-particle Phonon Confinement Model
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Quantitative Deviation of Nanocrystals Using the RIR Method in X-ray Diffraction (XRD).

Qinyuan Huang1,2, Chunjian Wang1,3,4, Quan Shan1,2

  • 1Faculty of Material Science and Engineering, Kunming University of Science and Technology, Kunming 650093, China.

Nanomaterials (Basel, Switzerland)
|July 27, 2022
PubMed
Summary

Instrumental broadening significantly impacts X-ray diffraction (XRD) phase quantification. Accounting for this factor improves accuracy in analyzing mixtures containing nanomaterials like titanium dioxide (TiO2).

Keywords:
X-ray diffraction (XRD)instrumental broadeningnanocrystal quantificationquantitative phase analysis (QPA)reference intensity ratio (RIR)

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Area of Science:

  • Materials Science
  • Analytical Chemistry
  • Crystallography

Background:

  • The Reference Intensity Ratio (RIR) method using X-ray diffraction (XRD) is a rapid technique for phase quantification.
  • Nanocrystals in mixtures broaden diffraction peaks, a factor often considered, but instrumental broadening is frequently overlooked.
  • Accurate quantification of multi-phase mixtures is crucial in various scientific and industrial applications.

Purpose of the Study:

  • To investigate the impact of instrumental broadening on the quantitative analysis of multi-phase mixtures using XRD.
  • To highlight the importance of accounting for instrumental broadening, particularly when analyzing samples containing nanomaterials.
  • To propose a mathematical model to correct for deviations caused by instrumental broadening.

Main Methods:

  • Utilized X-ray diffraction (XRD) for phase quantification.
  • Employed a specimen composed of 50 wt.% titanium dioxide (TiO2) nanomaterials and 50 wt.% microscale zinc oxide (ZnO).
  • Varied the divergence slit adjustment to introduce changes in instrumental broadening.

Main Results:

  • A significant variation in the quantitative result for nano-TiO2 was observed, changing from 56.53% to 43.33% due to instrumental broadening.
  • This deviation was directly linked to adjustments in the divergence slit.
  • The study demonstrates that instrumental broadening can lead to substantial errors in phase quantification.

Conclusions:

  • Instrumental broadening is a critical factor that must be considered for accurate phase quantification in multi-phase mixtures, especially those containing nanomaterials.
  • A mathematical model incorporating instrumental broadening can help correct for observed deviations.
  • This research provides a foundation for developing more accurate quantification approaches for unknown mixtures.