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

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

doi:10.3390/mi14122208

Open AccessArticle

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

by

Cristiano Lo Pò

^1,*

,

Valentina Iacono

^1,2

,

Stefano Boscarino

^1,2,

Maria Grazia Grimaldi

^1,2 and

Francesco Ruffino

^1,2,3,*

¹

Dipartimento di Fisica e Astronomia “Ettore Majorana”, Università di Catania, Via S. Sofia 64, 95123 Catania, Italy

²

CNR-IMM, Via S. Sofia 64, 95123 Catania, Italy

³

Research Unit of the University of Catania, National Interuniversity Consortium of Materials Science and Technology (INSTM-UdR of Catania), Viale Andrea Doria 8 and Via S. Sofia 64, 95125 Catania, Italy

^*

Authors to whom correspondence should be addressed.

Micromachines 2023, 14(12), 2208; https://doi.org/10.3390/mi14122208

Submission received: 2 November 2023 / Revised: 1 December 2023 / Accepted: 4 December 2023 / Published: 6 December 2023

(This article belongs to the Special Issue MEMS in Italy 2023)

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Abstract

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.

Keywords: nanoparticles; plasmonic; Monte Carlo; simulations; copper; gold; Mie theory; laser ablation

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MDPI and ACS Style

Pò, C.L.; Iacono, V.; Boscarino, S.; Grimaldi, M.G.; Ruffino, F. Monte Carlo Approach to the Evaluation of Nanoparticles Size Distribution from the Analysis of UV-Vis-NIR Spectra. Micromachines 2023, 14, 2208. https://doi.org/10.3390/mi14122208

AMA Style

Pò CL, Iacono V, Boscarino S, Grimaldi MG, Ruffino F. Monte Carlo Approach to the Evaluation of Nanoparticles Size Distribution from the Analysis of UV-Vis-NIR Spectra. Micromachines. 2023; 14(12):2208. https://doi.org/10.3390/mi14122208

Chicago/Turabian Style

Pò, Cristiano Lo, Valentina Iacono, Stefano Boscarino, Maria Grazia Grimaldi, and Francesco Ruffino. 2023. "Monte Carlo Approach to the Evaluation of Nanoparticles Size Distribution from the Analysis of UV-Vis-NIR Spectra" Micromachines 14, no. 12: 2208. https://doi.org/10.3390/mi14122208

APA Style

Pò, C. L., Iacono, V., Boscarino, S., Grimaldi, M. G., & Ruffino, F. (2023). Monte Carlo Approach to the Evaluation of Nanoparticles Size Distribution from the Analysis of UV-Vis-NIR Spectra. Micromachines, 14(12), 2208. https://doi.org/10.3390/mi14122208

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

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