The Use of Software Visualization Tools for the Identification of PTM Patterns and Artefacts in LC-MS Experiments
Poster Aug 25, 2005
Harald Pettersen Lennart Björkesten and Matthias Berg
Traditional analysis of LC-MS data by reviewing chromatograms and corresponding single or averaged mass spectra is evidently both tedious and difficult. When analyzing multiple proteomics samples, this part of the data analysis is therefore often omitted and only the final list of identified proteins is reviewed. This may lead to unnecessarily complex or even contradictory results.
By representing LC-MS data as a 2D-image as demonstrated in the novel DeCyder™ MS software, it is possible to identify phenomena, which are very difficult to recognize using conventional LC-MS data representation. By discarding appropriate phenomena as artefacts the quality of the result will be significantly improved.
Using Elemental Analysis For Discrimination Of Pinot Noir Wines From Six Different Districts In An AvaPoster
The determination of geographical origin of wine is gaining increased interest by researchers and federal agencies around the world, partially due to increased fraud with regards to place of origin labelling. For wine, multi-elemental profiling of macro, micro, and trace elements has been proposed for determination of authenticity. Commercial wines from different wineries in 5 different neighborhoods within one AVA show characteristic elemental fingerprints. Macro, micro and trace elements as well as elemental ratios contribute to the observed separation, indicating the involvement of multiple factors and underlying mechanisms, including location and soil composition, elemental uptake by vine and rootstock, viticulture and nutrient management, water sources, and small differences in the different wineries.READ MORE
Fast arsenic speciation analysis of wines and rice with LC-ICP-QQQPoster
This method was designed in response to recent and proposed food standards, both international and national, that limit inorganic arsenic rather than total, organic, or individual arsenic species such as arsenite (AsIII) and arsenate (AsV). Analysis time is 10x faster than the current FDA regulatory method, increasing sample throughput, avoided spectral interferences and dramatically increased sensitivity. Validation data from two laboratories demonstrate the method’s accuracy and reproducibility of both wine and rice matrices in a single analytical batch.READ MORE
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