TY - CHAP
T1 - Applications of Hybrid Nanoparticles in Biosensors
AU - Tang, Yuankai
AU - Yu, Xiantong
AU - Xu, Jianhua
AU - Zhang, Sanjun
AU - Audit, Benjamin
N1 - Publisher Copyright:
© 2019 Elsevier Inc. All rights reserved.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Hybrid nanoparticles have become extremely attractive to researchers due their original properties. They are promising with a wide range of applications, especially in sensors based on localized surface plasmon resonance (LSPR). Simulations play an important role in this research area. In this chapter, we first introduce the basic theories of LSPR. Then four general simulation methods—Mie theory, finite-difference time-domain method, discrete dipole approximation, finite element methods—are presented. Finally, several examples are presented to illustrate the application of these simulation methods to predict the optical properties of hybrid nanoparticles.
AB - Hybrid nanoparticles have become extremely attractive to researchers due their original properties. They are promising with a wide range of applications, especially in sensors based on localized surface plasmon resonance (LSPR). Simulations play an important role in this research area. In this chapter, we first introduce the basic theories of LSPR. Then four general simulation methods—Mie theory, finite-difference time-domain method, discrete dipole approximation, finite element methods—are presented. Finally, several examples are presented to illustrate the application of these simulation methods to predict the optical properties of hybrid nanoparticles.
KW - Hybrid nanoparticles
KW - Mie theory
KW - discrete dipole approximation
KW - finite element methods
KW - finite-difference time-domain method
KW - localized surface plasmon resonance
KW - sensors
UR - https://www.scopus.com/pages/publications/85122188973
U2 - 10.1016/B978-0-12-814134-2.00020-6
DO - 10.1016/B978-0-12-814134-2.00020-6
M3 - 章节
AN - SCOPUS:85122188973
SN - 9780128141359
SP - 431
EP - 455
BT - Noble Metal-Metal Oxide Hybrid Nanoparticles
PB - Elsevier
ER -