| Grant number: | 12/09822-0 |
| Support Opportunities: | Scholarships in Brazil - Doctorate |
| Effective date (Start): | September 01, 2012 |
| Effective date (End): | September 29, 2016 |
| Field of knowledge: | Physical Sciences and Mathematics - Chemistry - Analytical Chemistry |
| Principal Investigator: | Marina Franco Maggi Tavares |
| Grantee: | Karina Trevisan Rodrigues |
| Host Institution: | Instituto de Química (IQ). Universidade de São Paulo (USP). São Paulo , SP, Brazil |
| Associated scholarship(s): | 14/18789-2 - Evaluation of CE-MS for the urinary targeted metabolomics assessment of vesicoureteral reflux, BE.EP.DR |
Abstract This project aims to develop and validate methods by CE-MS in both modes of electrospray ionization, positive and negative, and explore their ability to research the urinary profile of vesicoureteral reflux in children with a metabolomics approach. In the development of CE-MS methods, compositions of background electrolyte, sheath liquid, and the instrumental parameters of the mass analyzer will be systematically varied and optimized for both modes of ionization. The raw data obtained by CE-MS will be processed using the software for free access XCMS. Additionally, a processing algorithm developed by the data will be used compared to XCMS. Each set of spectral data (global analysis) will be processed separately and statistically evaluated by means of multivariate methods, including principal component analysis (PCA) and discriminant analysis and partial least squares (PLS-DA). Metabolites discriminating vesicoureteral reflux are then identified by analysis of authentic standards, by fragmentation and the use of spectral libraries. Additionally, a visit "sandwich PhD" at Imperial College London (ICL) is being considered, where the data acquisition by UPLC-MS in C18 and HILIC columns, will be contemplated to explore the metabolic complementarity of information, result of the use of several orthogonal analytical platforms. Robust UPLC-MS methods are used routinely in the ICL for various clinical applications and libraries containing retention times and m/z of hundreds of metabolites have been built and updated over several years and may be employed in this project for general identification of metabolites found in the samples. analyzed. (AU) | |
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