Current Nanoscience - Volume 13, Issue 3, 2017

Background: Viral infection is one of the global health problems and for the eradication of such infections no considerable antiviral agents are available. In addition, problem of emerging resistance to available antiviral agents is also rising day by day. The treatment of viral infection is indeed more complicated contrary to bacterial infection. So there is a dire need of identifying new type and technology to design dosag Read More

Background: Organic dyes represented a serious pollutant in the past decades but does not present significant risk at the moment but still represents a model pollutant for the assessment of catalytic and photocatalytic activity of ferrite nanoparticles and more due to their ease in measurement. Methods: Ferrite nanoparticles were obtained using the co-precipitation method and Palm Oil as biosurfactant. The nano Read More

Background: Ethanol is an important fuel for the automotive industry in different countries and an alternative to fossil non-renewable fuels. However, it is usual the malpractice of ethanol adulteration in many countries The illegal adulteration of ethanol fuel results in reduced engine lifetime and increases the production of toxic gases. The conventional ethanol analyses require expensive laboratory methodologies and Read More

Background: Cells are typically crowded environments, affecting various properties of biomolecules such as diffusion, chemical binding, molecular structure and folding, and stability. Concentrated polymeric solutions serve as models to mimic these environments. In this study, we used ficoll, a water soluble, branched polysaccharide and we focused on probing its effect on the translational diffusion and the rotational diffusion of Read More

Background: Magnetic nanoparticles (MNPs) are interesting candidates for biomedical areas of cell targeting and separation, magnetic resonance imaging (MRI), cancer therapy, hyperthermia, gene and drug delivery. Up now, various kind of surface coatings like polymers, polysaccharides, organic acids, silica and amino acids. The type of surface coating and their geometric connection onto the surface of MNPs determine t Read More

Background: The aim of this paper is to use triple walled carbon nanotubes (TWCNT) as a sensor and explore the effect of change in the length of outer and middle tubes keeping smaller tubes length constant. Methods: In this paper continuum models of TWCNTs are used, with the finite element procedure to evaluate the resonance frequencies of TWCNT. TWCNTs are treated as a number of concentric elastic cylindrical l Read More

Background: Different kinds of materials have been tried to support TiO2. The possible interactions between the supporting materials and the photocatalyst might put effect on photocatalytic activity. Synthesized zeolite with porous structure and large surface area has a long industrial history as adsorbent and catalyst. Photocatalytic degradation of Reactive Brilliant Red-X3B on χTiO2/HZSM-5 regarding TiO2 loading per Read More

Background: ZnO nanorod arrays (ZnO-NRA) are promising materials for the current research. The hydrothermal synthesis is considered as the most promising method for ZnO growth. ZnO-NRA-based UV sensors have been focused upon because of their use in the various fields. In this work, we fabricated zinc oxide (ZnO) nanorod array (NRA)-based metal–semiconductor–metal (MSM) UV sensors on glass substrates. Me Read More

A new, green and eco-friendly biocomposite based on Preyssler (H14[NaP5W30O110]) heteropolyacid supported on activated rice bran was prepared by a chemical impregnation method. The biocomposite catalyst was characterized by Fourier transform infrared and scanning electron microscopy. Decolorization of methyl red, methyl orange and methylene blue as carcinogenic and toxic dyes in textile wastewaters have Read More

Background: The heat transfer and fluid flow within a lid-driven, inclined, square cavity containing three circular heat sources are investigated. The enclosure is filled with DWCNT-water nanofluid. The effects of some important parameters, such as Richardson number, inclination angle, solid volume concentration and aspect ratio, are studied based on streamline, temperature field and average Nusselt number. The study is p Read More

Background: The artificial neural network has been employed to predict the thermal conductivity of the carbon nanotube–ethylene glycol (CNT-EG) nanofluid based on experimental data. The main aim of this study is to find the best training algorithm for modeling the thermal conductivity of nanofluids. Methods: Different activating functions and two training algorithms have been tested to train the neurons. The architecture o Read More