Mass spectrometry (MS) is a powerful analytical technique that provides precise identification, quantification and structural analysis of molecules. It measures the mass-to-charge ratio (m/z) of ions, helping to identify the composition of a sample by analyzing the mass of its molecules and fragments.
Samples are introduced into the instrument, where neutral molecules are converted into charged ions. These ions are then directed into the collision cell of the mass analyzer to produce fragments. Finally, ions strike the detector, generating electrical signals that a computer converts into a mass spectrum, revealing the molecular composition and relative abundances of the sample.
This set up is used for metabolomics platform.
Identification of metabolites is typically done by accurate mass matching with online databases, but it provides only molecular formula with certainty. This is insufficient as many species belonging to different classes can have the same molecular formula. The physicochemical characteristics of the compounds need to be considered to yield more accurate identification. The use of machine learning methods to calculate characteristics such as retention time and collision cross section (CCS) enable the annotation of unknown lipids using oloBion 4D-ID® strategy with accurate mass, MS/MS fragmentation data, retention time and CCS, a four-dimensional orthogonal fingerprint that significantly improves identification specificity and reliability.
This instrument is mainly used for lipidomics and proteomics platforms.
Lipid characterization is a complex challenge that requires detailed insights into molecular composition, double bond positions, and structural configuration. At oloBion, we have integrated the innovative Electron-Activated Dissociation (EAD) technology from the ZenoTOF 7600 (SCIEX) to enhance lipid identification and analysis with greater precision and efficiency.
oloMAP annotates the molecules identified through our mass spectrometry instruments and combines them with your study design as well as external data to perform statistical analysis. These results are delivered through oloMAP Portal, our interactive platform for data visualization and interpretation, offering a seamless and insightful experience to uncover hidden patterns and extract meaningful biological insights. If you already have omics data and are unsure how to handle or interpret it, don’t hesitate to contact us. Our team is here to help you turn complex data into clear, actionable knowledge.
Partner with us to explore the power of omics in your field. Our team is ready to guide you through the process and deliver insights tailored to your research or industry needs.
Contact us today to discuss your project or schedule a consultation. Together, we’ll advance innovation through omics!
