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Monte Carlo Approach to the Evaluation of Nanoparticles Size Distribution from the Analysis of UV-Vis-NIR Spectra

by Iacono, Valentina , Ruffino, Francesco , Grimaldi, Maria Grazia , Pò, Cristiano Lo , Boscarino, Stefano

in Ablation / Agglomeration / Algorithms / Analysis / Approximation / Copper / Datasets / Electron microscopes / Gold / Laser ablation / Lasers / Machine learning / Microscopy / Mie scattering / Monte Carlo / Monte Carlo method / Monte Carlo simulation / Nanoparticles / Online data bases / Particle size / plasmonic / Pulsed lasers / simulations / Size distribution / Solvents / Spectra / Spectrophotometry / Transmission electron microscopes

2023

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Monte Carlo Approach to the Evaluation of Nanoparticles Size Distribution from the Analysis of UV-Vis-NIR Spectra

by Iacono, Valentina , Ruffino, Francesco , Grimaldi, Maria Grazia , Pò, Cristiano Lo , Boscarino, Stefano

2023

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Monte Carlo Approach to the Evaluation of Nanoparticles Size Distribution from the Analysis of UV-Vis-NIR Spectra

by Iacono, Valentina , Ruffino, Francesco , Grimaldi, Maria Grazia , Pò, Cristiano Lo , Boscarino, Stefano

2023

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Journal Article

Monte Carlo Approach to the Evaluation of Nanoparticles Size Distribution from the Analysis of UV-Vis-NIR Spectra

Iacono, Valentina,

Ruffino, Francesco,

Grimaldi, Maria Grazia,

Pò, Cristiano Lo,

Boscarino, Stefano

2023

Overview

How nice would it be to obtain the size distribution of a nanoparticle dispersion fast and without electron microscope measurements? UV-Vis-NIR spectrophotometry offers a very rapid solution; however, the spectra interpretation can be very challenging and needs to take into account the size distribution of the nanoparticles and agglomeration. This work suggests a Monte Carlo method for rapid fitting UV-Vis-NIR spectra using one or two size distributions starting from a dataset of precomputed spectra based on Mie theory. The proposed algorithm is tested on copper nanoparticles produced with Pulsed Laser Ablation in Liquid and on gold nanoparticles from the literature. The fitted distribution results are comparable with Transmission Electron Microscope results and, in some cases, reflect the presence of agglomeration.

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Publisher

MDPI AG

Subject

/ Copper