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Deconvoluting Diffuse Reflectance Spectra for Retrieving Nanostructures' Size Details: An Easy and Efficient

Manushree Tanwar1, Anjali Chaudhary1, Devesh K Pathak1

  • 1Material Research Laboratory, Discipline of Physics & MEMS , Indian Institute of Technology Indore , Simrol 453552 , India.

The Journal of Physical Chemistry. A
|April 17, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a new, cost-effective diffuse reflectance spectroscopy model for estimating nanostructured material size and distribution. The method accurately determines crystallite size and distribution, validated by Raman spectroscopy and electron microscopy.

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Area of Science:

  • Materials Science
  • Spectroscopy
  • Nanotechnology

Background:

  • Accurate characterization of nanostructured materials is crucial for their applications.
  • Traditional methods for size and distribution analysis can be complex and expensive.
  • Diffuse reflectance spectroscopy (DRS) offers a potentially simpler and more economical approach.

Purpose of the Study:

  • To develop and validate a novel model for estimating mean size and size distribution in nanostructured materials.
  • To utilize spectral line-shape analysis of diffuse reflectance spectroscopy data.
  • To provide an accessible method for nanostructure characterization.

Main Methods:

  • Derivation of a theoretical line-shape function based on size distribution and band gap.
  • Fitting experimental absorption spectra with the derived line-shape function.
  • Preparation of silicon nanostructured samples using metal-induced etching.

Main Results:

  • Successfully estimated mean crystallite size and size distribution from silicon nanostructured samples.
  • Validated the model's accuracy by comparing results with Raman spectroscopy and electron microscopy.
  • Demonstrated the model's ability to assess homogeneity in size distribution.

Conclusions:

  • Diffuse reflectance spectroscopy, through spectral line-shape analysis, provides a simple, economic, and accurate method for estimating nanostructure size and distribution.
  • The developed model is a valuable tool for nanostructured material characterization and homogeneity assessment.
  • This technique complements established methods like Raman spectroscopy and electron microscopy.