Shape Dependent EMA Model of Nanostructured Anisotropic Materials
Heterogeneous nanostructures containing nanoparticles of various sizes and shapes have attracted significant attention in the development of nano-biosensors. Especially, plasmonic properties of such materials are advantageously exploited for the detection of biological and chemical substances. Since...
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doaj-50bcfbe10153487db796bc6492e112af2020-11-24T21:55:32ZengMDPI AGNanomaterials2079-49912019-09-01910138010.3390/nano9101380nano9101380Shape Dependent EMA Model of Nanostructured Anisotropic MaterialsPetr Otipka0Jaroslav Vlček1Department of Mathematics and Descriptive Geometry, Faculty of Mechanical Engineering, VSB—Technical University of Ostrava, 708 00 Ostrava-Poruba, Czech RepublicDepartment of Mathematics and Descriptive Geometry, Faculty of Mechanical Engineering, VSB—Technical University of Ostrava, 708 00 Ostrava-Poruba, Czech RepublicHeterogeneous nanostructures containing nanoparticles of various sizes and shapes have attracted significant attention in the development of nano-biosensors. Especially, plasmonic properties of such materials are advantageously exploited for the detection of biological and chemical substances. Since these media exhibit optical anisotropy, a valid homogenization procedure must be able to describe appropriately the relationship between the geometry of the inclusions and the nature of local field modes. We present a model approach for extension of the effective medium approximation (EMA) and its application to anisotropic nanostructures. The proposed model is based on a “strong-couple-dipole” (SCD) method including a volume-integral correction term in a Green tensor that enables to obtain more accurate representation of polarizability tensor. Derived depolarization factors for discs and bi-cone particles are compared with the early known shapes (spheroids, cylinders) and applied to nanostructures composed of the Fe or Au nanodots in polyacrylate.https://www.mdpi.com/2079-4991/9/10/1380biosensorseffective mediumnanoparticlespolarizabilityscd methodgreen tensor |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Petr Otipka Jaroslav Vlček |
spellingShingle |
Petr Otipka Jaroslav Vlček Shape Dependent EMA Model of Nanostructured Anisotropic Materials Nanomaterials biosensors effective medium nanoparticles polarizability scd method green tensor |
author_facet |
Petr Otipka Jaroslav Vlček |
author_sort |
Petr Otipka |
title |
Shape Dependent EMA Model of Nanostructured Anisotropic Materials |
title_short |
Shape Dependent EMA Model of Nanostructured Anisotropic Materials |
title_full |
Shape Dependent EMA Model of Nanostructured Anisotropic Materials |
title_fullStr |
Shape Dependent EMA Model of Nanostructured Anisotropic Materials |
title_full_unstemmed |
Shape Dependent EMA Model of Nanostructured Anisotropic Materials |
title_sort |
shape dependent ema model of nanostructured anisotropic materials |
publisher |
MDPI AG |
series |
Nanomaterials |
issn |
2079-4991 |
publishDate |
2019-09-01 |
description |
Heterogeneous nanostructures containing nanoparticles of various sizes and shapes have attracted significant attention in the development of nano-biosensors. Especially, plasmonic properties of such materials are advantageously exploited for the detection of biological and chemical substances. Since these media exhibit optical anisotropy, a valid homogenization procedure must be able to describe appropriately the relationship between the geometry of the inclusions and the nature of local field modes. We present a model approach for extension of the effective medium approximation (EMA) and its application to anisotropic nanostructures. The proposed model is based on a “strong-couple-dipole” (SCD) method including a volume-integral correction term in a Green tensor that enables to obtain more accurate representation of polarizability tensor. Derived depolarization factors for discs and bi-cone particles are compared with the early known shapes (spheroids, cylinders) and applied to nanostructures composed of the Fe or Au nanodots in polyacrylate. |
topic |
biosensors effective medium nanoparticles polarizability scd method green tensor |
url |
https://www.mdpi.com/2079-4991/9/10/1380 |
work_keys_str_mv |
AT petrotipka shapedependentemamodelofnanostructuredanisotropicmaterials AT jaroslavvlcek shapedependentemamodelofnanostructuredanisotropicmaterials |
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1725862021435490304 |