MultiShapeC, an algorithm to assess concentration in multi-shape nanoparticle samples: nanosilver, a case study

Shape, size, and dispersity play a crucial role in the calculation of colloidal nanoparticle concentrations, which results in remarkable differences in the determination of parameters like Stern–Volmer constants. In this work, we propose an algorithm named MultiShapeC to include the variability in s...

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Detalles Bibliográficos
Autores principales: Núñez, Rodrigo Nicolás, Veglia, Alicia Viviana, Pacioni, Natalia Lorena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2022
Materias:
Chemistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9486825/
https://www.ncbi.nlm.nih.gov/pubmed/36275155
http://dx.doi.org/10.1039/d2ra04078f
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author Núñez, Rodrigo Nicolás
Veglia, Alicia Viviana
Pacioni, Natalia Lorena
author_facet Núñez, Rodrigo Nicolás
Veglia, Alicia Viviana
Pacioni, Natalia Lorena
author_sort Núñez, Rodrigo Nicolás
collection PubMed
description Shape, size, and dispersity play a crucial role in the calculation of colloidal nanoparticle concentrations, which results in remarkable differences in the determination of parameters like Stern–Volmer constants. In this work, we propose an algorithm named MultiShapeC to include the variability in shapes and polydispersity in the concentration calculation. This algorithm was validated using the quenching of carbazole fluorescence emission by silver nanoparticles.
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spelling pubmed-94868252022-10-20 MultiShapeC, an algorithm to assess concentration in multi-shape nanoparticle samples: nanosilver, a case study Núñez, Rodrigo Nicolás Veglia, Alicia Viviana Pacioni, Natalia Lorena RSC Adv Chemistry Shape, size, and dispersity play a crucial role in the calculation of colloidal nanoparticle concentrations, which results in remarkable differences in the determination of parameters like Stern–Volmer constants. In this work, we propose an algorithm named MultiShapeC to include the variability in shapes and polydispersity in the concentration calculation. This algorithm was validated using the quenching of carbazole fluorescence emission by silver nanoparticles. The Royal Society of Chemistry 2022-09-20 /pmc/articles/PMC9486825/ /pubmed/36275155 http://dx.doi.org/10.1039/d2ra04078f Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by/3.0/
spellingShingle Chemistry
Núñez, Rodrigo Nicolás
Veglia, Alicia Viviana
Pacioni, Natalia Lorena
MultiShapeC, an algorithm to assess concentration in multi-shape nanoparticle samples: nanosilver, a case study
title MultiShapeC, an algorithm to assess concentration in multi-shape nanoparticle samples: nanosilver, a case study
title_full MultiShapeC, an algorithm to assess concentration in multi-shape nanoparticle samples: nanosilver, a case study
title_fullStr MultiShapeC, an algorithm to assess concentration in multi-shape nanoparticle samples: nanosilver, a case study
title_full_unstemmed MultiShapeC, an algorithm to assess concentration in multi-shape nanoparticle samples: nanosilver, a case study
title_short MultiShapeC, an algorithm to assess concentration in multi-shape nanoparticle samples: nanosilver, a case study
title_sort multishapec, an algorithm to assess concentration in multi-shape nanoparticle samples: nanosilver, a case study
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9486825/
https://www.ncbi.nlm.nih.gov/pubmed/36275155
http://dx.doi.org/10.1039/d2ra04078f
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AT pacioninatalialorena multishapecanalgorithmtoassessconcentrationinmultishapenanoparticlesamplesnanosilveracasestudy

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