Rapid Metabolite Identification using Advanced Algorithms for Mass Spectral Interpretation
Poster Oct 30, 2013
Mark A. Bayliss, Margaret Antler, Graham McGibbon, Vitaly Lashin
Recognizing differences between related LC/MS data sets is the basic premise for the determination of potential metabolites in drug development. Finding small differences between two or more datasets requires a deep and rigorous analysis of each data set to extract and determine those m/z values that give rise to chromatographic peaks. The major challenge is that signal-to-noise ratio decreases as the limit of detection is approached so the number of false positive peaks that populate the output increases exponentially. In searching for relevant and important potential metabolites it is critical that as many false positive potential metabolite features can be eliminated from the output to reduce the human investment of time and energy in reviewing the results. Using a unique algorithm for componentization of LC/MS data, we have developed software that uses extracted ion chromatogram peaks and as many mass spectral identifiers as possible to ensure that all features relevant to a chemical species are identified. Using the multiple information redundancy approach to data extraction, we determined with good accuracy the important and relevant components within a series of data sets.
Proteomics and Substrate Based MS Imaging of Xenobiotic Metabolising Enzymes in Ex Vivo Human Skin and a Human Living Skin Equivalent ModelPoster
Untargeted proteomics analysis showed that human skin and a commercially available living skin equivalent model exhibit a similar distribution of xenobiotic metabolising enzymes. A new technique, substrate based mass spectrometry imaging (SB-MSI) was developed during this study.READ MORE
Development and Assessment of Non-Infected and Infected Skin Models Using MALDI-MSIPoster
Infections have detrimental effects on wound healing leading to chronic wound formation. The use of labskin,a living skin model, in combination with mass spectrometry imaging, provides a good model for assessing wound healing factors.READ MORE
Overcoming the Challenges of Analysing Ionic Polar Pesticides in FoodPoster
Here, the novel application of the Waters’ Torus DEA column is presented, showing the improved performance of a UPLC-MS/MS method for the underivatised
analysis of glyphosate and a selection of other anionic pesticides.