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Determination of the Size Distribution of Metallic Colloids from Extinction Spectroscopy
Yehia Mansour1, Yann Battie1, Aotmane En Naciri1
1Université de Lorraine, LCP-A2MC, F-57000 Metz, France.
Nanomaterials (Basel, Switzerland)
|November 27, 2021
Summary
Extinction spectroscopy effectively characterizes gold nanoparticles (Au NPs) by analyzing their size distribution from extinction spectra. This method, using Mie theory and a non-negative least square algorithm, requires no prior size information and works for various suspension types.
Area of Science:
- Nanotechnology
- Materials Science
- Spectroscopy
Background:
- Colloidal suspensions of gold nanoparticles (Au NPs) are crucial in various applications.
- Accurate characterization of Au NP size distribution is essential for controlling their properties.
- Current methods may require prior knowledge or are less versatile.
Purpose of the Study:
- To explore extinction spectroscopy for characterizing Au NP size distribution.
- To develop a method for deducing size distribution from extinction spectra without prior information.
- To assess the compatibility of the method with in situ measurements.
Main Methods:
- Utilizing extinction spectroscopy to measure optical properties of Au NP suspensions.
- Applying Mie theory to model the interaction of light with Au NPs.
- Employing a non-negative least square algorithm for data analysis.
- Leveraging the plasmon band's sensitivity to Au NP size.
Main Results:
- Successfully deduced Au NP size distribution from extinction spectra.
- Demonstrated the method's effectiveness for monomodal and bimodal suspensions.
- Validated the procedure's independence from a priori size distribution information.
- Confirmed the compatibility with in situ measurements and tracking radius changes during laser exposure.
Conclusions:
- Extinction spectroscopy, analyzed with Mie theory and a non-negative least square algorithm, is a powerful tool for characterizing Au NP size distribution.
- The developed procedure offers a versatile and information-efficient approach for nanoparticle analysis.
- This technique enables real-time monitoring of nanoparticle size, crucial for dynamic processes.

