A5046901551- Microfluidic and Bio-sensing Technologies
- Microfluidic and Capillary Electrophoresis Applications
- Biosensors and Analytical Detection
- SARS-CoV-2 detection and testing
- Advanced Machining and Optimization Techniques
- Nanocluster Synthesis and Applications
- Advanced Fiber Optic Sensors
- Innovative Microfluidic and Catalytic Techniques Innovation
- Photonic and Optical Devices
- Microbial Inactivation Methods
- SARS-CoV-2 and COVID-19 Research
- Quasicrystal Structures and Properties
- Plasmonic and Surface Plasmon Research
- Nanofabrication and Lithography Techniques
- Nanopore and Nanochannel Transport Studies
- Electrowetting and Microfluidic Technologies
- Theoretical and Computational Physics
- Advanced Nanomaterials in Catalysis
- Photonic Crystal and Fiber Optics
University of Sousse
2024
Centre de Recherche en Microelectronique et Nanotechnologie
2024
University of Monastir
2021-2023
National Engineering School of Tunis
2015-2023
Abstract Designing Photonic Crystal Fibers incorporating the Surface Plasmon Resonance Phenomenon (PCF-SPR) has led to numerous interesting applications. This investigation presents an exceptionally responsive surface plasmon resonance sensor, seamlessly integrated into a dual-core photonic crystal fiber, specifically designed for low refractive index (RI) detection. The integration of plasmonic material, namely silver (Ag), externally deposited on fiber structure, facilitates real-time...
In order to ensure the optimal functionality of biosensor devices across a diverse range applications, it is crucial accurately predict their detection times. This study delves into an in- depth exploration centrifugal and Coriolis effects that emerge due angular alignment radial displacement rotating microfluidic specifically designed for detecting complex reactive proteins (CRPs). To address this challenge, we introduce innovative hybrid model known as PSO-ANN, which combines power...
We investigate the distinctly different interaction of thiolate-protected cluster Au38(SC2H4Ph)24 with two diverse support materials Al2O3 and CeO2. The catalytic surfaces have been heated in atmospheres, removal thiolate ligands has studied. Thermogravimetry (TG), temperature-programmed process coupled mass spectrometer (TPRDO-MS), X-ray absorption spectroscopy (XAFS) studies were performed to understand desorption thiol depending on conditions material. Depending atmosphere material fate...
The location of the Pd atoms in Pd<sub>2</sub>Au<sub>36</sub>(SC<sub>2</sub>H<sub>4</sub>Ph)<sub>24</sub>, is studied both experimentally and theoretically.
The rapid spread and quick transmission of the new ongoing pandemic coronavirus disease 2019 (COVID-19) has urged scientific community to looking for strong technology understand its pathogenicity, transmission, infectivity, which helps in development effective vaccines therapies. Furthermore, there was a great effort improve performance biosensors so that they can detect pathogenic virus quickly, reliable precise way. In this context, we propose numerical simulation highlight important role...
In this study, Taguchi's approach was used to optimize the performance of an electrothermal microfluidic biosensor with a new shape reaction surface for rapid detection novel severe acute respiratory syndrome coronavirus-2. An orthogonal table L9 four critical parameters at three levels each, namely fluid inlet velocity, voltage applied between electrodes, analyte concentration and constant adsorption, designed. Signal noise ratio (S/N) combined analysis variance were reach optimal process...
A Taguchi <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$L_{32}(2^{8})$</tex> orthogonal design combined with an analysis of variance ANOVA will be used to optimize the microfluidic biosensor confinement. For this, eight factors such as Reynolds number (Re), Damkohler (Da), relative adsorption capacity xmlns:xlink="http://www.w3.org/1999/xlink">$(\boldsymbol{\sigma})$</tex> , equilibrium dissociation constant (K <inf...
This study focused on optimizing the performance of a microfluidic biosensor by analyzing effect four control parameters detection time <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(\mathrm{T}_{\mathrm{R}})$</tex> device. The were applied voltage xmlns:xlink="http://www.w3.org/1999/xlink">$(\mathbf{V}_{\mathbf{rms}})$</tex> , channel height (H), length xmlns:xlink="http://www.w3.org/1999/xlink">$(\mathrm{l}_{\mathrm{S}})$</tex> and position...