Sharif Digital Repository

TiO2 is known as a photocatalyst in near UV-Visible light region with better efficiency compared to other semiconductor photocatalysts. Many attempts have been done to increase the efficiency of this photocatalyst. also, application of 2D carbon nanostructures namely graphene for increasing the photocatalytic activity of TiO2 has shown positive results.
In this research, we first synthesized Graphene Oxide (GO) suspension by exfolation of graphite oxide suspension. then we fabricated TiO2 thin films on glass substrates by so-called sol-gel method. finally we fabricate Graphene Oxide/TiO2 nanowalls composite films as a photocatalyst in visible light. X-ray photoelectron spectroscopy... 

In this work, pH sensitive supramolecular shuttles consisting of carbon nanotube-graft-pyrene (CNT-graft-PYR) and hyperbranched polyglycerol with β-cyclodextrin core (β-CD-graft-PG) were synthesized and characterized. Supramolecular systems (PG/CNT/S) were able to load and transport doxorubicin in aqueous solutions. While PG/CNT/S were soluble in phosphate buffer pH 7, they were divided to their individual moieties in pH 5 and therefore CNTs containing staked doxorubicin molecules were precipitated  

This research aims to develop a drug delivery system based on mesoporous silica nanoparticles (MSNPs) for hydrophobic drugs and evaluating their cytotoxicity. The internal environment of the body is aqueous, while most of effective drugs display poor aqueous solubility, resulting in insufficient bioavailability. Due to their several unique properties, such as a large surface area, tunable pore size, facile surface multi functionalization and excellent biocompatibility, MSNPs are recognized as promising and powerful tools to overcome this hurdle. In the present study, MSNPs were synthesized using template removing method and then were functionalized through grafting procedure. They were... 

The increasing role of nanotechnology in our every-day-life, has aroused global concern regarding their hazardous potential, resulting in a demand for parallel risk assessment. Quatitative structure-activity relationships enable researches to use unique properties of nanoparticles as predictors for their toxicity or any other biological response. Extracting rational correlations between physicochemical properties of nanoparticles and their biological response, not only reveals the way that nanoparticles behave upon entering into biological media, but also leads to the design of safer and efficient nanoparticles for various applications of interest. This PhD dissertation presents QSAR tools... 

In this thesis, manganese oxide nanoparticles with about 5 nm size were synthesized via solvothermal to maximize surface and active sites for proton relaxation. The synthesized nanoparticles were coated with gentisic acid to acquire suitable colloidal stability and biocompatibility. The nanoparticles showed low cytotoxicity in MTT assay. Electrosteric mechanisim was employed for colloidal stability. This mechanisim doesn’t need high surface charge and thick coat which are vital for particles functionality. Then by cell culture eliminating and adding protamine sulfade, nanoparticles uptake were increased tremendously. In this thesis for first time Prussian blue was utilized for staining... 

In this study, we aim to learn representations from microscopic cell images that effectively capture the features of drugs affecting the cells, allowing us to identify effective drugs for treating a disease. We employ two parallel learning paths using predictive and generative models. Specifically, we have achieved a predictive model on the RxRx19a dataset that, unlike previous models, is interpretable, optimized, and robust to dras- tic changes in drug properties. Additionally, we have developed the first generative model on this dataset, which not only generates high-quality images but also discovers a meaningful latent space. This latent space divides the representation into relevant...