In silico measurement of light scattered by ellipsoid nanoparticles

Authors

Marc Aaron Flores Julian ⋅ PH Department of Physical Sciences and Mathematics, University of the Philippines Manila
Jean Haye Cruz Leal ⋅ PH Department of Physical Sciences and Mathematics, University of the Philippines Manila
Rhea Mae S Siose ⋅ PH Department of Physical Sciences and Mathematics, University of the Philippines Manila
Zoe Mae Bermejo ⋅ PH Department of Physical Sciences and Mathematics, University of the Philippines Manila
Adrian Nathaniel Chua ⋅ PH Department of Physical Sciences and Mathematics, University of the Philippines Manila
Rhenish Simon ⋅ PH Department of Physical Sciences and Mathematics, University of the Philippines Manila and National Institue of Physics, University of the Philippines Diliman

Abstract

The application of nanoparticles in the field of science, technology, and medicine inspired the development of ultrasensitive techniques for real-time detection. Interferometry is a promising technique for nanoparticle detection. However, existing studies assume spherically shaped nanoparticles only. We present a scheme to detect an ellipsoid nanoparticle by measuring the Rayleigh scattered field. Variation in the geometry of the nanoparticle affects the signal value.It shows dependence on the volume, and on the ratio of the semi-axes (ρ = a_x/a_y, a_y = a_z). A spherical nanoparticle was used as reference for verification. Additionally, a differential detector limits the effect of the signals that did not interact with the scattered light to produce a signal affected by the interferometric term only.

Issue

2017: Proceedings of the 35th Samahang Pisika ng Pilipinas Physics Conference

Article ID

SPP-2017-PA-26

Section

Poster Session A (Materials Science, Instrumentation, and Photonics)

Published

2017-06-07

How to Cite

[1]

MAF Julian, JHC Leal, RMS Siose, ZM Bermejo, AN Chua, and R Simon, In silico measurement of light scattered by ellipsoid nanoparticles, Proceedings of the Samahang Pisika ng Pilipinas 35, SPP-2017-PA-26 (2017). URL: https://proceedings.spp-online.org/article/view/220.