Investigating the potential of thecamoebians (testate amoebae) as bio-indicators of impact of oil sands mining operations on freshwater environments in Northeastern Alberta, Canada

Thecamoebian (testate amoeba) species diversity and assemblages in reclamation wetlands and lakes in northeastern Alberta respond to chemical and physical parameters associated with oil sands extraction. Ecosystems more impacted by OSPM (oil sands process-affected material) contain sparse, low-diversity populations dominated by centropyxid taxa and Arcella vulgaris. More abundant and diverse thecamoebian populations rich in difflugiid species characterize environments with lower OSPM concentrations. These shelled protists respond quickly to environmental change, allowing year-to-year variations in OSPM impact to be recorded. Their fossil record thus provides corporations with interests in the Athabasca Oil Sands with a potential means of measuring the progression of highlyimpacted aquatic environments to more natural wetlands. Development of this metric required investigation of controls on their fossil assemblage (e.g. seasonal variability, fossilization potential) and their biogeographic distribution, not only in the constructed lakes and wetlands on the oil sands leases, but also in natural environments across Alberta.

Bio-inspired optimization & sampling technique for side-chain packing in MCCE

The prediction of proteins' conformation helps to understand their exhibited functions, allows for modeling and allows for the possible synthesis of the studied protein. Our research is focused on a sub-problem of protein folding known as side-chain packing. Its computational complexity has been proven to be NP-Hard. The motivation behind our study is to offer the scientific community a means to obtain faster conformation approximations for small to large proteins over currently available methods. As the size of proteins increases, current techniques become unusable due to the exponential nature of the problem. We investigated the capabilities of a hybrid genetic algorithm / simulated annealing technique to predict the low-energy conformational states of various sized proteins and to generate statistical distributions of the studied proteins' molecular ensemble for pKa predictions. Our algorithm produced errors to experimental results within .acceptable margins and offered considerable speed up depending on the protein and on the rotameric states' resolution used.

ORGANOSILICON BIOTECHNOLOGY: A BIO-INSPIRED APPROACH TO THE HYDROLYSIS OF ALKOXYSILANES and THE LIPASE-CATALYZED SYNTHESIS OF SILOXANE-CONTAINING POLYESTERS AND POLYAMIDES

The first part of this thesis studied the capacity of amino acids and enzymes to catalyze the hydrolysis and condensation of tetraethoxysilane and phenyltrimethoxysilane. Selected amino acids were shown to accelerate the hydrolysis and condensation of tetraethoxysilane under ambient temperature, pressure and at neutral pH (pH 7±0.02). The nature of the side chain of the amino acid was important in promoting hydrolysis and condensation. Several proteases were shown to have a capacity to hydrolyze tri- and tet-ra- alkoxysilanes under the same mild reaction conditions. The second part of this thesis employed an immobilized Candida antarctica lipase B (Novozym-435, N435) to produce siloxane-containing polyesters, polyamides, and polyester amides under solvent-free conditions. Enzymatic activity was shown to be temperature dependent, increasing until enzyme denaturation became the dominant pro-cess, which typically occurred between 120-130ᵒC. The residual activity of N435 was, on average, greater than 90%, when used in the synthesis of disiloxane-containing polyesters, regardless of the polymerization temperature except at the very highest temperatures, 140-150ᵒC. A study of the thermal tolerance of N435 determined that, over ten reaction cycles, there was a decrease in the initial rate of polymerization with each consecutive use of the catalyst. No change in the degree of monomer conversion after a 24 hour reaction cycle was found.