The aim of this work was to compare commercial (C18, SAX and HLB) and molecularly imprinted polymer SPE sorbents for extraction and preconcentration of folic acid by SPE coupled online to CE-UV. This method will be applied for analysis of folic acid in wheat flours in the future.
Pathogenic bacteria remains a primary target of a study due to its prevalence in the environment, specifically the healthcare setting. The use of antibiotics and antimicrobials are essential to treat the symptoms of harmful strains of bacteria. However, although medicinal alternatives exist to kill harmful microorganisms, bacteria have the capability to evolve. Because of this, resistant properties have become a growing problem in the healthcare setting, thus creating various scientific interests of study. High resolution mass spectrometry and imaging analyzes specific ions within a sample thus providing further identification of potential metabolites in Staphylococcus aureus. Therefore, metabolites produced by both resistant and non-resistant strains of bacteria were compared and evaluated. Profiling the metabolic production between the two strains provides a further understanding on how these resistant characteristics were formed, their biological gene function, and how they can potentially be treated.
Analyses of biological samples by GC-MS requires sample derivatization so that non-volatile or thermally unstable species may be detected. In metabolomic investigation, optimization of derivatization conditions aims to obtain the maximum number of molecular features. For this purpose, urine samples were prepared varying the reagents volumes and time of reaction, and the results were evaluated by response surfaces, indicating the most approppriate conditions.
Quantification of metabolites in blood serum is a challenge due to the presence of endogenous compounds in the sample matrix. Therefore, a thorough evaluation for method validation is required. In this work, different matrices were evaluated: synthetic serum, blood serum charcoal stripped and blood serum with standards addition. Matrix effect was assessed to determine the best method for quantification of endogenous metabolites.
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