The goal of this thesis is to determine if Sinorhizobium meliloti can be useful as a sentinel soil microorganism for assessing the impacts of contaminant stressors on the metabolome of a microorganism. Not only is a good deal known about this organism, but it is an important organism in agriculture. Moreover, the currently available gene array and a large library of gene fusion can be used as facile pathways to explore genetic and genomic impacts in addition to metabolomic impacts of contaminants, should such studies be deemed worthwhile. In this study, the polar metabolome of the soil microorganism, Sinorhizobium meliloti, has been analyzed by LC-ESI-MS using a HILIC column coupled to a medium mass resolution time-of-flight mass spectrometer. This approach has resulted in the retention (k' > 0.7) of over 300 polar metabolites as detected in both positive ion and negative ion modes. These data do not include ions corresponding to adduct ions, isotopic features or ions resulting from in-source decay processes. The retained peaks showed excellent linear responses and did not suffer from ion suppression, a common problem in flow-injection ESI analysis. This methodology has been applied to the analysis of S. meliloti exposed to fluorene, a common PAH contaminant, and to a coal tar fraction containing low molecular mass PAHs. Multiple cultures of S. meliloti were grown on M9 glucose minimal medium in the absence and presence of fluorene (0.14 mg/L and 1.4 mg/L) and a PAH mixture (total PAH concentrations of 0.14 mg/L and 1.4 mg/L). Analyses of biological replicates were performed in pentuplicate. The retention times of the resulting chromatograms were aligned, peak areas determined and the resulting data processed using PCA and OPLS-DA methods. The retention time reproducibilities of peaks were within ± 10 seconds and the biological variabilities of over 700 components averaged 23% ± 15% (n=25) . The impacts of fluorene exposures and PAH mixture exposures on the S. meliloti metabolomes (polar) caused significant changes in the metabolome. The lower concentration exposures had less of an impact than the higher dosages. Low dosages of both fluorene and the PAH mixture produced a similar metabolic response in S. meliloti, while at higher dosages the responses were more specific to each toxin. The use of SUS plots coupled with S-plots of the OPLS-DA analysis were particularly advantageous for the identification of metabolites of interest. Changes were seen in the levels of adenine, adenosine, glutamate, and aspartate, among others. In the future, the profiles of the non-polar metabolites of each of sample will be analyzed using a previously developed 'shotgun lipidomics' method. / Thesis / Master of Science (MS)