Column Development in Capillary Electrophoresis and Electrochromatography for Bioanalytical Applications

Abstract: Analysis of biological samples can be a difficult task. This thesis covers a broad aspect of the analytical areas of capillary electrophoresis (CE) and capillary electrochromatography (CEC) in combination with mass spectrometry (MS) that are of great importance for achieving fast, accurate and sensitive bioanalyses. A significantly time reduced and automated system for sample cleanup was developed to greatly simplify the pretreatment process of biological samples with a complex matrix. Desalting and preconcentration of species in urine was conducted and the limit of detection for the antidepressant escitalopram was lowered 10 times. This extraction devise was also successfully incorporated in a chip based platform for the possibility to be a part of multidimensional separation systems. The reduced risk of sample loss leads to improved detection limits, which are usually one the most challenging parts when working with bioanalyses.In the area of separation, a monomer surface with tailored hydrophobicity was developed to achieve rapid, high efficient separations of complex mixtures. Within five minutes a tryptic digest of a protein could be separated and then identified by a Mascot search.The applications addressed have been focused on medical conditions which are of highest interest for both physicians and patients. A high throughput analysis of the kynurenine metabolites with CE-MS offers a new method to rapidly examine samples from patients with neurological disorders.A screening study of possible biomarkers for the two different types of appendicitis, gangraenous and phlegmonous was conducted. Indicative patterns were found for both pre and post surgery of the two types of inflammation as well as between them. The divergences were traced back to the MS peaks obtained in the CE- and CEC-MS setups as possible biomarkers for the two forms of appendicitis. A preliminary study of polycystic ovary syndrome also offered some valuable results for future biomarker identification.