Mass Spectrometry / Analytical Chemistry / Proteomics / Metabolomics
Scientist / Researcher 

2010 - present

ACADEMIC ADVISORY

 

 

Completed

 

Rodrigo Ricardo  Ramos- Master's in Chemical Eng.

 

Title:Development of Methodology of high performance liquid chromatography (HPLC) for analysis of SARA oil.

 

The development of a high performance liquid chromatography technique for SARA analysis of oil samples was the main objective of this work. Through the technique of high performance liquid chromatography developed was possible to obtain an effective separation of SARA fractions of oil samples, a result that does not show as efficient when working with classical liquid chromatography.

 

Lidiane Maria de Andrade- PhD in Chemical Engineering (co- advisor)

 

Title: Microalgae production and characterization of lipids and proteins via mass spectrometry

 

The aim of this work was achieve a MALDI-TOF-MS method for rapidly identifying proteins in whole cells of some species of microalgae, testing different types of matrices and solvent composition. The main objective was to test different types of matrices and solvent composition, to achieve a good profile of the mass spectrum to enables the construction of a library of mass spectra. This method would be an alternative to classical methods, in order to provide a rapid tool mainly for analyzing microalgae complex field samples which pose difficulties for their morphological and taxonomic interpretation.

 

Ongoing

 

Meriellen Dias – PhD in Chemical Engineering (advisor)

 

Title: Proteomic Study of the fungus Rhizopus microsporus, in the Presence and Absence of Copper by Mass Spectrometry Technique.

 

This project aims to purify  proteins secreted by the fungus "Rhizopus microsporus" isolated from mining areas, contaminated with copper, for further proteomic analysis of the fungus, presenting a potentially promising way for the bio-treatment of contaminated wastewater.

 

Claudio Neves- PhD in Chemical Engineering (co- advisor)

 

Title: The Delayed Coking Unit Modeling

 

This work is based on the experimental analysis and mathematical modeling, which aims to discuss the feedstock characterization, highlighting the use of mass spectrometry for asphaltenes and evaluation of green coke quality. From more detailed information about the molecular characteristics of the feedstock, it is possible, through correlations with bulk properties commonly measurable, to develop a mathematical model for the process in order to optimize the operating variables and maximize the conversion with lighter products. Moreover, coke is produced with the desired quality. The model is based also in a lumped kinetic scheme and vapor-liquid equilibrium conditions in the furnace and coke drum. The thermal cracking is consequently well predicted.

 

Levy Anderson Cesar-Alves- PhD in  Pediatric Dentistry (co- advisor)

 

Title: Study of the metabolome of biofluids in nephropathic patients (teens and young adults), and their association with periodontal disease.

 

The aim of this study is to analyze the metabolome of biofluids such as urine, oral biofilm and crevicular fluid of children and young adults with CKD in stages 1-5, and establish an association with periodontal disease present in these patients. Therefore, all children and young adults with definitive diagnosis of CKD (stages 1-5), registered in CAPE (Centre of care for patients Special) / FOUSP and Children's Institute (ICR) / USP and that comply with the pre-established criteria, will participate in the study. The collection of biofluids will be held and later they will be prepared to metabolomic analysis by GC-MS technique (gas chromatography coupled with mass spectrometer). The data obtained will be statistically analyzed through mMass® software 5.4.1, GraphPad StatMate 2 and regression analysis will be performed using the statistical software MATLAB.

 

Rafael Celestino de Colombo Souza- PhD in Pediatric Dentistry (co-advisor)

 

Title: Study of the metabolome of biofluids in patients with Down syndrome and their association with periodontal disease

 

Periodontal disease is a chronic inflammatory disease characterized by destruction of the tooth supporting tissue. In individuals with Down syndrome, this disease has an early course and with greater severity. The metabolome study may contribute to the understanding of the course of the disease, identifying possible metabolites as biomarkers in these individuals. To understand the metabolic profile of individuals with Down syndrome and their relationship with periodontal disease, it will be held to identify  metabolite of adolescents and young adults between 12 and 21 years, both genders.