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Optimized gold nanoshell ensembles for biomedical applications

We theoretically study the properties of the optimal size distribution in the ensemble of hollow gold nanoshells (HGNs) that exhibits the best performance at in vivo biomedical applications. For the first time, to the best of our knowledge, we analyze the dependence of the optimal geometric means of...

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Detalles Bibliográficos
Autores principales: Sikdar, Debabrata, Rukhlenko, Ivan D, Cheng, Wenlong, Premaratne, Malin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3680205/
https://www.ncbi.nlm.nih.gov/pubmed/23537206
http://dx.doi.org/10.1186/1556-276X-8-142
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author Sikdar, Debabrata
Rukhlenko, Ivan D
Cheng, Wenlong
Premaratne, Malin
author_facet Sikdar, Debabrata
Rukhlenko, Ivan D
Cheng, Wenlong
Premaratne, Malin
author_sort Sikdar, Debabrata
collection PubMed
description We theoretically study the properties of the optimal size distribution in the ensemble of hollow gold nanoshells (HGNs) that exhibits the best performance at in vivo biomedical applications. For the first time, to the best of our knowledge, we analyze the dependence of the optimal geometric means of the nanoshells’ thicknesses and core radii on the excitation wavelength and the type of human tissue, while assuming lognormal fit to the size distribution in a real HGN ensemble. Regardless of the tissue type, short-wavelength, near-infrared lasers are found to be the most effective in both absorption- and scattering-based applications. We derive approximate analytical expressions enabling one to readily estimate the parameters of optimal distribution for which an HGN ensemble exhibits the maximum efficiency of absorption or scattering inside a human tissue irradiated by a near-infrared laser.
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spelling pubmed-36802052013-06-14 Optimized gold nanoshell ensembles for biomedical applications Sikdar, Debabrata Rukhlenko, Ivan D Cheng, Wenlong Premaratne, Malin Nanoscale Res Lett Nano Express We theoretically study the properties of the optimal size distribution in the ensemble of hollow gold nanoshells (HGNs) that exhibits the best performance at in vivo biomedical applications. For the first time, to the best of our knowledge, we analyze the dependence of the optimal geometric means of the nanoshells’ thicknesses and core radii on the excitation wavelength and the type of human tissue, while assuming lognormal fit to the size distribution in a real HGN ensemble. Regardless of the tissue type, short-wavelength, near-infrared lasers are found to be the most effective in both absorption- and scattering-based applications. We derive approximate analytical expressions enabling one to readily estimate the parameters of optimal distribution for which an HGN ensemble exhibits the maximum efficiency of absorption or scattering inside a human tissue irradiated by a near-infrared laser. Springer 2013-03-28 /pmc/articles/PMC3680205/ /pubmed/23537206 http://dx.doi.org/10.1186/1556-276X-8-142 Text en Copyright ©2013 Sikdar et al.; licensee Springer. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Nano Express
Sikdar, Debabrata
Rukhlenko, Ivan D
Cheng, Wenlong
Premaratne, Malin
Optimized gold nanoshell ensembles for biomedical applications
title Optimized gold nanoshell ensembles for biomedical applications
title_full Optimized gold nanoshell ensembles for biomedical applications
title_fullStr Optimized gold nanoshell ensembles for biomedical applications
title_full_unstemmed Optimized gold nanoshell ensembles for biomedical applications
title_short Optimized gold nanoshell ensembles for biomedical applications
title_sort optimized gold nanoshell ensembles for biomedical applications
topic Nano Express
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3680205/
https://www.ncbi.nlm.nih.gov/pubmed/23537206
http://dx.doi.org/10.1186/1556-276X-8-142
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