Replication data for : Metasurface supporting quasi-BIC for optical trapping and Raman-spectroscopy of biological nanoparticles

DOI

Optical trapping combined with Raman spectroscopy have opened new possibilities for analyzing biological nanoparticles. Conventional optical tweezers have proven successful for trapping of a single or a few particles. However, the method is slow and cannot be used for the smallest particles. Thus, it is not adapted to analyze a large number of nanoparticles, which is necessary to get statistically valid data. Here, we propose quasi-bound states in the continuum (quasi-BICs) in a silicon nitride (Si3N4) metasurface to trap smaller particles and many simultaneously. We use COMSOL Multiphysics version 6.0 for modelling and optimization of the proposed metasurface. The quasi-BIC metasurface contains multiple zones with high field-enhancement (‘hotspots’) at a wavelength of 785 nm, where a single nanoparticle can be trapped at each hotspot. We numerically investigate the optical trapping of a type of biological nanoparticles, namely extracellular vesicles (EVs), and study how their presence influences the resonance behavior of the quasi-BIC. It is found that perturbation theory and a semi-analytical expression gives good estimates for the resonance wavelength and minimum of the potential well, as function of the particle radius. This wavelength is slightly shifted relative to the resonance of the metasurface without trapped particles. The simulations show that the Q-factor can be increased by using a thin metasurface. The thickness of the layer and the asymmetry of the unit cell can thus be used to get a high Q-factor. Our findings show the tight fabrication tolerances necessary to make the metasurface. If these can be overcome, the proposed metasurface can be used for a lab-on-a-chip for mass-analysis of biological nanoparticles.

COMSOL Multiphysics, 5.6

Matlab, 2021b

Identifier
DOI https://doi.org/10.18710/VW1M5L
Related Identifier IsCitedBy https://doi.org/10.1021/acsphotonics.0c01941
Related Identifier IsCitedBy https://doi.org/10.1103/PhysRevLett.121.193903
Related Identifier IsCitedBy https://doi.org/10.1088/1367-2630/17/12/123008
Related Identifier IsCitedBy https://doi.org/10.1002/adpr.202200111
Metadata Access https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/VW1M5L
Provenance
Creator Hasan, Md Rabiul (ORCID: 0000-0002-9538-454X); Hellesø, Olav Gaute ORCID logo
Publisher DataverseNO
Contributor Hellesø, Olav Gaute; UiT The Arctic University of Norway
Publication Year 2023
Funding Reference The Research Council of Norway 302333
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Hellesø, Olav Gaute (UiT The Arctic University of Norway)
Representation
Resource Type Raw simulation data; Dataset
Format text/plain
Size 7807; 6763; 1113; 1269; 1473; 3377; 32145; 2919; 3444
Version 1.2
Discipline Natural Sciences; Physics
Spatial Coverage Tromsø