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Advancements in Hybrid Cellulose-Based Films: Innovations and Applications in 2D Nano-Delivery Systems

Author(s): Ramezani G; Stiharu I; van de Ven TGM; Nerguizian V;

This review paper delves into the realm of hybrid cellulose-based materials and their applications in 2D nano-delivery systems. Cellulose, recognized for its biocompatibility, versatility, and renewability, serves as the core matrix for these nanomaterials. The paper offers a comprehensive overview of the latest advancements in the creation, analysis, and ...

Article GUID: 38667550


Advancement in Biosensor Technologies of 2D MaterialIntegrated with Cellulose-Physical Properties

Author(s): Ramezani G; Stiharu I; van de Ven TGM; Nerguizian V;

This review paper provides an in-depth analysis of recent advancements in integrating two-dimensional (2D) materials with cellulose to enhance biosensing technology. The incorporation of 2D materials such as graphene and transition metal dichalcogenides, along with nanocellulose, improves the sensitivity, stability, and flexibility of biosensors. Practica ...

Article GUID: 38258201


A review on microfluidic-assisted nanoparticle synthesis, and their applications using multiscale simulation methods

Author(s): Agha A; Waheed W; Stiharu I; Nerguizian V; Destgeer G; Abu-Nada E; Alazzam A;

Recent years have witnessed an increased interest in the development of nanoparticles (NPs) owing to their potential use in a wide variety of biomedical applications, including drug delivery, imaging agents, gene therapy, and vaccines, where recently, lipid nanoparticle mRNA-based vaccines were developed to prevent SARS-CoV-2 causing COVID-19. NPs typical ...

Article GUID: 36800044


Comparative Evaluation of Artificial Neural Networks and Data Analysis in Predicting Liposome Size in a Periodic Disturbance Micromixer

Author(s): Ocampo I; López RR; Camacho-León S; Nerguizian V; Stiharu I;

Artificial neural networks (ANN) and data analysis (DA) are powerful tools for supporting decision-making. They are employed in diverse fields, and one of them is nanotechnology; for example, in predicting silver nanoparticles size. To our knowledge, we are the first to use ANN to predict liposome size (LZ). Liposomes are lipid nanoparticles used in diffe ...

Article GUID: 34683215


Numerical and Experimental Validation of Mixing Efficiency in Periodic Disturbance Mixers

Author(s): López RR; Sánchez LM; Alazzam A; Burnier JV; Stiharu I; Nerguizian V;

The shape and dimensions of a micromixer are key elements in the mixing process. Accurately quantifying the mixing efficiency enables the evaluation of the performance of a micromixer and the selection of the most suitable one for specific applications. In this paper, two methods are investigated to evaluate the mixing efficiency: a numerical model and an ...

Article GUID: 34577745


Surface Response Based Modeling of Liposome Characteristics in a Periodic Disturbance Mixer.

Author(s): López RR, Ocampo I, Sánchez LM, Alazzam A, Bergeron KF, Camacho-León S, Mounier C, Stiharu I, Nerguizian V

Micromachines (Basel). 2020 Feb 25;11(3): Authors: López RR, Ocampo I, Sánchez LM, Alazzam A, Bergeron KF, Camacho-León S, Mounier C, Stiharu I, Nerguizian V

Article GUID: 32106424


Dielectrophoresis Multipath Focusing of Microparticles through Perforated Electrodes in Microfluidic Channels.

Author(s): Alazzam A, Al-Khaleel M, Riahi MK, Mathew B, Gawanmeh A, Nerguizian V

Biosensors (Basel). 2019 Aug 07;9(3): Authors: Alazzam A, Al-Khaleel M, Riahi MK, Mathew B, Gawanmeh A, Nerguizian V

Article GUID: 31394810


Fabrication of Porous Gold Film Using Graphene Oxide as a Sacrificial Layer.

Author(s): Alazzam A, Alamoodi N, Abutayeh M, Stiharu I, Nerguizian V

Materials (Basel). 2019 Jul 18;12(14): Authors: Alazzam A, Alamoodi N, Abutayeh M, Stiharu I, Nerguizian V

Article GUID: 31323903


The effect of dielectrophoresis on living cells: crossover frequencies and deregulation in gene expression.

Author(s): Nerguizian V, Stiharu I, Al-Azzam N, Yassine-Diab B, Alazzam A

Analyst. 2019 May 17;: Authors: Nerguizian V, Stiharu I, Al-Azzam N, Yassine-Diab B, Alazzam A

Article GUID: 31099354


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