The University of Southampton
University of Southampton Institutional Repository

Near- and far-field wave shaping for optofluidic particle manipulation

Near- and far-field wave shaping for optofluidic particle manipulation
Near- and far-field wave shaping for optofluidic particle manipulation
Optofluidic particle manipulation provides a powerful and versatile technological platform for on-chip sensing. Embedded planar nanophotonic devices can shape electromagnetic fields in fluidic channels, allowing for a high level of control over particles. This thesis reports my research contribution to designing optofluidic nanostructures for several different kinds of on-chip particle manipulation that are detailed as below. I have numerically demonstrated plasmonic nanoparticle routers that can guide and route nanospheres in a microfluidic channel. I have analyzed the power flow and the corresponding optical force on the nanosphere, and have derived the Maxwell stress tensor utilized in the finite element analysis solver. I also identified the relationship between the relative refractive index of the nanospheres and the magnitude of the generated optical force. The results suggest a new method for next-generation plasmo-fluidic sensing. I have designed dielectric metalenses with phase profiles that can be coherently controlled. The Mie scattering field from the meta-atoms of the metalens can be tailored dynamically, in which the output Bessel beam sweeps in a range from –1.37° to 1.36°. I have further analyzed particle routing in a continuous flow. I have numerically demonstrated a metalens microfluidic microsphere sorting based on fluorescent color. The sorting originates from the metalens’ ability to focus fluorescent light back onto the target sphere, creating self-induced optical tweezers. Because the embedded metalens doublet eliminates the need for any additional sorting mechanism, the technique can be referred to as FEACS (Fluorescence-Enabled
University of Southampton
Yin, Shengqi
363a868e-95cb-4354-b52f-0d4f9fcd3e70
Yin, Shengqi
363a868e-95cb-4354-b52f-0d4f9fcd3e70
Fang, Xu
96b4b212-496b-4d68-82a4-06df70f94a86
Green, Nicolas
d9b47269-c426-41fd-a41d-5f4579faa581

Yin, Shengqi (2023) Near- and far-field wave shaping for optofluidic particle manipulation. University of Southampton, Doctoral Thesis, 194pp.

Record type: Thesis (Doctoral)

Abstract

Optofluidic particle manipulation provides a powerful and versatile technological platform for on-chip sensing. Embedded planar nanophotonic devices can shape electromagnetic fields in fluidic channels, allowing for a high level of control over particles. This thesis reports my research contribution to designing optofluidic nanostructures for several different kinds of on-chip particle manipulation that are detailed as below. I have numerically demonstrated plasmonic nanoparticle routers that can guide and route nanospheres in a microfluidic channel. I have analyzed the power flow and the corresponding optical force on the nanosphere, and have derived the Maxwell stress tensor utilized in the finite element analysis solver. I also identified the relationship between the relative refractive index of the nanospheres and the magnitude of the generated optical force. The results suggest a new method for next-generation plasmo-fluidic sensing. I have designed dielectric metalenses with phase profiles that can be coherently controlled. The Mie scattering field from the meta-atoms of the metalens can be tailored dynamically, in which the output Bessel beam sweeps in a range from –1.37° to 1.36°. I have further analyzed particle routing in a continuous flow. I have numerically demonstrated a metalens microfluidic microsphere sorting based on fluorescent color. The sorting originates from the metalens’ ability to focus fluorescent light back onto the target sphere, creating self-induced optical tweezers. Because the embedded metalens doublet eliminates the need for any additional sorting mechanism, the technique can be referred to as FEACS (Fluorescence-Enabled

Text
PhD Thesis unsign pdfA - Version of Record
Available under License University of Southampton Thesis Licence.
Download (5MB)
Text
Final-thesis-submission-Examination-Mr-Shengqi-Yin
Restricted to Repository staff only

More information

Published date: June 2023

Identifiers

Local EPrints ID: 476226
URI: http://eprints.soton.ac.uk/id/eprint/476226
PURE UUID: 37d43831-e7cb-4067-934c-61e390455e82
ORCID for Xu Fang: ORCID iD orcid.org/0000-0003-1735-2654
ORCID for Nicolas Green: ORCID iD orcid.org/0000-0001-9230-4455

Catalogue record

Date deposited: 14 Apr 2023 16:47
Last modified: 08 Aug 2024 01:49

Export record

Contributors

Author: Shengqi Yin
Thesis advisor: Xu Fang ORCID iD
Thesis advisor: Nicolas Green ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×