Oxodiperoxomolybdenum catalyzed olefin epoxidation: the role of Ionic Liquids

Ionic Liquids (ILs) constituted by organic cations and inorganic anions are particular salts with a melting point below 100��C. Their physical properties such as melting point and solubility can be tuned by altering the combination of their anions and cations. In the last years the interest in ILs has been centered mostly on their possible use as ���green��� alternatives to the traditional volatile organic solvents (VOCs) thanks to their low vapour pressure and the efficient ability in catalyst immobilization. In this regard, the subject of the present thesis is the study of the oxodiperoxomolybdenum catalyzed epoxidation of olefins in ILs media with hydrogen peroxide as the oxidant. In particular N-functionalized imidazolium salts, such as 1-(2-t-Butoxycarbonylamino-ethyl)-3-methylimidazolium (1), were synthesized with different counterions [I]-, [PF6]-, [NO3]-, [NTf2]- and [ClO4]��� and tested as reaction solvents. The counterion exchange with [Cl]-, [NTf2]- and [NO3]- was also performed in unfuctionalized imidazolium salts such as 3-butyl-1-methylimidazol-3-ium (3). All the prepared ILs were tested in catalytic epoxidation of olefins exploiting oxodiperoxomolybdenum complexes [MoO(O2)2(C4H6N2)2] (4) and [MoO(O2)2(C5H8N2)2] (5) as catalysts. The IL 3[NTf2] and the catalysts 5 give rise to the best results leading to the selective formation of the epoxide of cis-cyclooctene avoiding hydrolysis side reaction. A preliminary study on the synthesis of novel NHC oxodiperoxomolybdenum complexes starting from imidazolium salts was also developed.

Parallelization of the algorithm WHAM with NVIDIA CUDA.

The aim of my thesis is to parallelize the Weighting Histogram Analysis Method (WHAM), which is a popular algorithm used to calculate the Free Energy of a molucular system in Molecular Dynamics simulations. WHAM works in post processing in cooperation with another algorithm called Umbrella Sampling. Umbrella Sampling has the purpose to add a biasing in the potential energy of the system in order to force the system to sample a specific region in the configurational space. Several N independent simulations are performed in order to sample all the region of interest. Subsequently, the WHAM algorithm is used to estimate the original system energy starting from the N atomic trajectories. The parallelization of WHAM has been performed through CUDA, a language that allows to work in GPUs of NVIDIA graphic cards, which have a parallel achitecture. The parallel implementation may sensibly speed up the WHAM execution compared to previous serial CPU imlementations. However, the WHAM CPU code presents some temporal criticalities to very high numbers of interactions. The algorithm has been written in C++ and executed in UNIX systems provided with NVIDIA graphic cards. The results were satisfying obtaining an increase of performances when the model was executed on graphics cards with compute capability greater. Nonetheless, the GPUs used to test the algorithm is quite old and not designated for scientific calculations. It is likely that a further performance increase will be obtained if the algorithm would be executed in clusters of GPU at high level of computational efficiency. The thesis is organized in the following way: I will first describe the mathematical formulation of Umbrella Sampling and WHAM algorithm with their apllications in the study of ionic channels and in Molecular Docking (Chapter 1); then, I will present the CUDA architectures used to implement the model (Chapter 2); and finally, the results obtained on model systems will be presented (Chapter 3).

Preparation and characterization of grafted nonwoven membranes for bioseparations

Protein purification plays a crucial role in biotechnology and biomanufacturing, where downstream unit operations account for 40%-80% of the overall costs. To overcome this issue, companies strive to simplify the separation process by reducing the number of steps and replacing expensive separation devices. In this context, commercially available polybutylene terephthalate (PBT) melt-blown nonwoven membranes have been developed as a novel disposable membrane chromatography support. The PBT nonwoven membrane is able to capture products and reduce contaminants by ion exchange chromatography. The PBT nonwoven membrane was modified by grafting a poly(glycidyl methacrylate) (GMA) layer by either photo-induced graft polymerization or heat induced graft polymerization. The epoxy groups of GMA monomer were subsequently converted into cation and anion exchangers by reaction with either sulfonic acid groups or diethylamine (DEA), respectively. Several parameters of the procedure were studied, especially the effect of (i) % weight gain and (ii) ligand density on the static protein binding capacity. Bovine Serum Albumin (BSA) and human Immunoglobulin G (hIgG) were utilized as model proteins in the anion and cation exchange studies. The performance of ion exchange PBT nonwovens by HIG was evaluated under flow conditions. The anion- and cation- exchange HIG PBT nonwovens were evaluated for their ability to selectively adsorb and elute BSA or hIgG from a mixture of proteins. Cation exchange nonwovens were not able to reach a good protein separation, whereas anion exchange HIG nonwovens were able to absorb and elute BSA with very high value of purity and yield, in only one step of purification.