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                                            Persistent Identifier
                                            
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                                        doi:10.18710/VW1M5L | 
                                    
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                                            Publication Date
                                            
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                                        2023-01-20 | 
                                    
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                                            Title
                                            
                                         | Replication data for : Metasurface supporting quasi-BIC for optical trapping and Raman-spectroscopy of biological nanoparticles | 
                                    
                                    
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                                            Author
                                            
                                         | Hasan, Md RabiulUiT The Arctic University of NorwayORCID0000-0002-9538-454X
                                                         Hellesø, Olav GauteUiT The Arctic University of NorwayORCID0000-0002-0494-8240 | 
                                    
                                    
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                                            Point of Contact
                                            
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                                                     Use email button above to contact.
                                                     Hellesø, Olav Gaute (UiT The Arctic University of Norway)  | 
                                    
                                    
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                                            Description
                                            
                                         | 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. (2023-01-20) | 
                                    
                                    
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                                            Subject
                                            
                                         | Physics | 
                                    
                                    
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                                            Keyword
                                            
                                         | Finite element method
                                                         Bound-states-in-the-continuum
                                                         Optical trapping
                                                         Raman enhancement | 
                                    
                                    
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                                            Related Publication
                                            
                                         | S. Yang, C. Hong, Y. Jiang, and J. C. Ndukaife, "Nanoparticle Trapping in a Quasi-BIC System," ACS Photonics 8(7), 1961-1971 (2021). doi 10.1021/acsphotonics.0c01941 https://doi.org/10.1021/acsphotonics.0c01941
                                                         K. Koshelev, S. Lepeshov, M. Liu, A. Bogdanov, and Y. Kivshar, "Asymmetric Metasurfaces with High-Q Resonances Governed by Bound States in the Continuum," Phys. Rev. Lett. 121(19), 193903 (2018) doi 10.1103/PhysRevLett.121.193903 https://doi.org/10.1103/PhysRevLett.121.193903
                                                         L. Neumeier, R. Quidant, and D. E. Chang, "Self-induced back-action optical trapping in nanophotonic systems," New J. Phys. 17(1), 123008 (2015). doi 10.1088/1367-2630/17/12/123008 https://doi.org/10.1088/1367-2630/17/12/123008
                                                         G. Q. Moretti, A. Tittl, E. Cortés, S. A. Maier, A. V. Bragas, and G. Grinblat, "Introducing a Symmetry‐Breaking Coupler into a Dielectric Metasurface Enables Robust High‐Q Quasi‐BICs," Adv. Photonics Res. 3(12), 2200111 (2022). doi 10.1002/adpr.202200111 https://doi.org/10.1002/adpr.202200111 | 
                                    
                                    
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                                            Language
                                            
                                         | English | 
                                    
                                    
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                                            Producer
                                            
                                         | UiT The Arctic University of Norway (UiT) https://en.uit.no/ | 
                                    
                                    
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                                            Production Date
                                            
                                         | 2023-01-20 | 
                                    
                                    
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                                            Production Location
                                            
                                         | Tromsø | 
                                    
                                    
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                                            Funding Information
                                            
                                         | The Research Council of Norway: 302333 | 
                                    
                                    
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                                            Distributor
                                            
                                         | UiT The Arctic University of Norway (UiT The Arctic University of Norway) (UiT) https://dataverse.no/dataverse/uit | 
                                    
                                    
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                                            Depositor
                                            
                                         | Hasan, Md Rabiul | 
                                    
                                    
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                                            Deposit Date
                                            
                                         | 2023-01-19 | 
                                    
                                    
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                                            Date of Collection
                                            
                                         | Start Date: 2021-06-01; End Date: 2022-10-21 | 
                                    
                                    
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                                            Data Type
                                            
                                         | Raw simulation data; Coding script | 
                                    
                                    
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                                            Software
                                            
                                         | COMSOL Multiphysics, Version: 5.6
                                                         Matlab, Version: 2021b |