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

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.