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Numerical Modeling for the Sensor Application
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Numerical Modeling for the Sensor Application

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Optical Sensors".

Deadline for manuscript submissions: closed (25 July 2023) | Viewed by 12513

Special Issue Editors

Dr. Francesco De Leonardis

E-Mail Website
Guest Editor
Department of Electrical and Information Engineering, Politecnico di Bari, Via Edoardo Orabona n. 4, 70125 Bari, Italy
Interests: integrated optoelectronics; nanophotonics; nonlinear photonics; photonic biological/chemical sensors; quantum photonic sensors
Special Issues, Collections and Topics in MDPI journals
Dr. Andrei Tsarev

E-Mail Website
Guest Editor
NanoPhotonics and Integrated Optics Group, Laboratory of Optical Materials and Structures (N 6), Institute of Semiconductor Physics SB RASProspect Lavrenteva, 13,630090 Novosibirsk, Russia
Interests: integrated optics; optical tunable filters; optical waveguide couplers; silicon on insulator technology; numerical simulations

Special Issue Information

Dear Colleagues,

Traditionally, numerical modeling is supported by experimental research, but sometimes numerical results are ahead of experiments or conducted by research groups without the possibility of experimental facilities. However, although fabrication possibilities and experimental studies are becoming more and more familiar, modeling techniques and design criteria still represent a fruitful approach in many novel application fields, including optical sensors. Thus, the aim of the Special Issue “Numerical modeling for the sensor application” is to collect the best research papers on optical sensors where the numerical modeling is included with experiments and/or the theoretical results are presented before further experimental verification

Dr. Francesco De Leonardis
Dr. Andrei Tsarev
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (6 papers)

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Research

15 pages, 8153 KiB  
Article
Monte Carlo Simulation of Diffuse Optical Spectroscopy for 3D Modeling of Dental Tissues
by Mousa Moradi and Yu Chen
Sensors 2023, 23(11), 5118; https://doi.org/10.3390/s23115118 - 27 May 2023
Cited by 2 | Viewed by 1374
Abstract
Three-dimensional precise models of teeth are critical for a variety of dental procedures, including orthodontics, prosthodontics, and implantology. While X-ray-based imaging devices are commonly used to obtain anatomical information about teeth, optical devices offer a promising alternative for acquiring 3D data of teeth [...] Read more.
Three-dimensional precise models of teeth are critical for a variety of dental procedures, including orthodontics, prosthodontics, and implantology. While X-ray-based imaging devices are commonly used to obtain anatomical information about teeth, optical devices offer a promising alternative for acquiring 3D data of teeth without exposing patients to harmful radiation. Previous research has not examined the optical interactions with all dental tissue compartments nor provided a thorough analysis of detected signals at various boundary conditions for both transmittance and reflectance modes. To address this gap, a GPU-based Monte Carlo (MC) method has been utilized to assess the feasibility of diffuse optical spectroscopy (DOS) systems operating at 633 nm and 1310 nm wavelengths for simulating light-tissue interactions in a 3D tooth model. The results show that the system’s sensitivity to detect pulp signals at both 633 nm and 1310 nm wavelengths is higher in the transmittance compared with that in the reflectance mode. Analyzing the recorded absorbance, reflectance, and transmittance data verified that surface reflection at boundaries can improve the detected signal, especially from the pulp region in both reflectance and transmittance DOS systems. These findings could ultimately lead to more accurate and effective dental diagnosis and treatment. Full article
(This article belongs to the Special Issue Numerical Modeling for the Sensor Application)
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10 pages, 2425 KiB  
Article
Analysis of Electric Field Distribution for SOI-FET Sensors with Dielectrophoretic Control
by Olga V. Naumova and Elza G. Zaytseva
Sensors 2022, 22(7), 2460; https://doi.org/10.3390/s22072460 - 23 Mar 2022
Cited by 2 | Viewed by 1914
Abstract
Silicon-on-insulator (SOI) nanowire or nanoribbon field-effect transistor (FET) biosensors are versatile platforms of electronic detectors for the real-time, label-free, and highly sensitive detection of a wide range of bioparticles. At a low analyte concentration in samples, the target particle diffusion transport to sensor [...] Read more.
Silicon-on-insulator (SOI) nanowire or nanoribbon field-effect transistor (FET) biosensors are versatile platforms of electronic detectors for the real-time, label-free, and highly sensitive detection of a wide range of bioparticles. At a low analyte concentration in samples, the target particle diffusion transport to sensor elements is one of the main limitations in their detection. The dielectrophoretic (DEP) manipulation of bioparticles is one of the most successful techniques to overcome this limitation. In this study, TCAD modeling was used to analyze the distribution of the gradient of the electric fields E for the SOI-FET sensors with embedded DEP electrodes to optimize the conditions of the dielectrophoretic delivery of the analyte. Cases with asymmetrical and symmetrical rectangular electrodes with different heights, widths, and distances to the sensor, and with different sensor operation modes were considered. The results showed that the grad E2 factor, which determines the DEP force and affects the bioparticle movement, strongly depended on the position of the DEP electrodes and the sensor operation point. The sensor operation point allows one to change the bioparticle movement direction and, as a result, change the efficiency of the delivery of the target particles to the sensor. Full article
(This article belongs to the Special Issue Numerical Modeling for the Sensor Application)
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13 pages, 3313 KiB  
Article
Power Spectral Density Analysis for Optimizing SERS Structures
by Ekaterina Babich, Sergey Scherbak, Ekaterina Lubyankina, Valentina Zhurikhina and Andrey Lipovskii
Sensors 2022, 22(2), 593; https://doi.org/10.3390/s22020593 - 13 Jan 2022
Cited by 6 | Viewed by 2104
Abstract
The problem of optimizing the topography of metal structures allowing Surface Enhanced Raman Scattering (SERS) sensing is considered. We developed a model, which randomly distributes hemispheroidal particles over a given area of the glass substrate and estimates SERS capabilities of the obtained structures. [...] Read more.
The problem of optimizing the topography of metal structures allowing Surface Enhanced Raman Scattering (SERS) sensing is considered. We developed a model, which randomly distributes hemispheroidal particles over a given area of the glass substrate and estimates SERS capabilities of the obtained structures. We applied Power Spectral Density (PSD) analysis to modeled structures and to atomic force microscope images widely used in SERS metal island films and metal dendrites. The comparison of measured and calculated SERS signals from differing characteristics structures with the results of PSD analysis of these structures has shown that this approach allows simple identification and choosing a structure topography, which is capable of providing the maximal enhancement of Raman signal within a given set of structures of the same type placed on the substrate. Full article
(This article belongs to the Special Issue Numerical Modeling for the Sensor Application)
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10 pages, 548 KiB  
Communication
Light Scattering by a Subwavelength Plasmonic Array: Anisotropic Model
by Anton Nemykin, Leonid Frumin and David Shapiro
Sensors 2022, 22(2), 449; https://doi.org/10.3390/s22020449 - 07 Jan 2022
Cited by 2 | Viewed by 1272
Abstract
We calculate the light transmission by a subwavelength plasmonic array using the boundary element method for parallel cylinders with different cross-sections: circular or elliptic with axis ratio 4:1. We demonstrate that plasmonic resonance is sharper for the case of horizontal ellipses. This structure [...] Read more.
We calculate the light transmission by a subwavelength plasmonic array using the boundary element method for parallel cylinders with different cross-sections: circular or elliptic with axis ratio 4:1. We demonstrate that plasmonic resonance is sharper for the case of horizontal ellipses. This structure is susceptible to refractive index variations in the media since the high derivatives of reflection and transmission coefficients are near the angle of total internal reflection. To obtain an approximate analytical expression, we used the model of a metallic layer. We explore the “sandwich” structure with an anisotropic film between two dielectrics and demonstrate its quantitative agreement with numerical results. Full article
(This article belongs to the Special Issue Numerical Modeling for the Sensor Application)
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14 pages, 1600 KiB  
Article
Effect of Dispersion-Enhanced Sensitivity in a Two-Mode Optical Waveguide with an Asymmetric Diffraction Grating
by Andrei Tsarev
Sensors 2021, 21(16), 5492; https://doi.org/10.3390/s21165492 - 15 Aug 2021
Cited by 1 | Viewed by 2220
Abstract
Analysis of trends in the development of silicon photonics shows the high efficiency regarding the creation of optical sensors. The concept of bimodal sensors, which suggests moving away from the usual paradigm based only on single-mode waveguides and using the inter-mode interaction of [...] Read more.
Analysis of trends in the development of silicon photonics shows the high efficiency regarding the creation of optical sensors. The concept of bimodal sensors, which suggests moving away from the usual paradigm based only on single-mode waveguides and using the inter-mode interaction of guided optical waves in a two-mode optical waveguide, is developed in the present paper. In this case, the interaction occurs in the presence of an asymmetric periodic perturbation of the refractive index above the waveguide surface. Such a system has unique dispersion properties that lead to the implementation of collinear Bragg diffraction with the mode number transformation, in which there is an extremely high dependence of the Bragg wavelength on the change in the refractive index of the environment. This is called the “effect of dispersion-enhanced sensitivity”. In this paper, it is shown by numerical calculation methods that the effect can be used to create optical sensors with the homogeneous sensitivity higher than 3000 nm/RIU, which is many times better than that of sensors in single-mode waveguide structures. Full article
(This article belongs to the Special Issue Numerical Modeling for the Sensor Application)
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18 pages, 1277 KiB  
Article
First-Principle Studies of the Vibrational Properties of Carbonates under Pressure
by Yurii N. Zhuravlev and Victor V. Atuchin
Sensors 2021, 21(11), 3644; https://doi.org/10.3390/s21113644 - 24 May 2021
Cited by 16 | Viewed by 2634
Abstract
Using the density functional theory with the hybrid functional B3LYP and the basis of localized orbitals of the CRYSTAL17 program code, the dependences of the wavenumbers of normal long-wave ν vibrations on the P(GPa) pressure ν(cm−1) = ν0 [...] Read more.
Using the density functional theory with the hybrid functional B3LYP and the basis of localized orbitals of the CRYSTAL17 program code, the dependences of the wavenumbers of normal long-wave ν vibrations on the P(GPa) pressure ν(cm−1) = ν0 + (dv/dP)·P + (d2v/dP2)·P and structural parameters R(Å) (R: a, b, c, RM-O, RC-O): ν(cm−1) = ν0 + (dv/dR) − (R − R0) were calculated. Calculations were made for crystals with the structure of calcite (MgCO3, ZnCO3, CdCO3), dolomite (CaMg(CO3)2, CdMg(CO3)2, CaZn(CO3)2) and aragonite (SrCO3, BaCO3, PbCO3). A comparison with the experimental data showed that the derivatives can be used to determine the P pressures, a, b, c lattice constants and the RM-O metal-oxygen, and the RC-O carbon-oxygen interatomic distances from the known Δν shifts. It was found that, with the increasing pressure, the lattice constants and distances R decrease, and the wavenumbers increase with velocities the more, the higher the ν0 is. The exceptions were individual low-frequency lattice modes and out-of-plane vibrations of the v2-type carbonate ion, for which the dependences are either nonlinear or have negative dv/dP (positive dv/dR) derivatives. The reason for this lies in the properties of chemical bonding and the nature of atomic displacements during these vibrations, which cause a decrease in RM-O and an increase in RC-O. Full article
(This article belongs to the Special Issue Numerical Modeling for the Sensor Application)
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