Related Experiment Video
Updated: Jul 4, 2026
Chemical Analysis of Water-accommodated Fractions of Crude Oil Spills Using TIMS-FT-ICR MS
Published on: March 3, 2017
Petroleomics FT-ICR MS Data Processing Methods for Inter-Basin Discrimination of Lacustrine Oils From Two Brazilian
Luan Felipe Campos Oliveira1, Jose Javier Melendez-Perez1, Sérgio Eduardo Bernardo Mistura Lutzer2
1Laboratory of Bioanalytics and Integrated Omics (LaBIOmics), Department of Analytical Chemistry, Institute of Chemistry, Universidade Estadual de Campinas (UNICAMP), Campinas, SP, Brazil.
This study compares data preprocessing methods for Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) petroleomics. The findings offer deeper insights into characterizing petroleum and discriminating between different oil basins.
Area of Science:
- Petroleum geochemistry
- Analytical chemistry
- Organic chemistry
Background:
- Nonvolatile and polar petroleum fractions, rich in NSO compounds, are crucial for characterizing organic geochemistry and physicochemical properties.
- Electrospray ionization coupled with Fourier transform ion cyclotron resonance mass spectrometry (ESI FT-ICR MS) is a gold-standard for oil characterization due to its broad ionization capabilities.
Purpose of the Study:
- To compare two distinct data preprocessing methodologies for FT-ICR MS petroleomics.
- To evaluate the effectiveness of these methods in providing deeper insights for inter-basin discrimination of petroleum samples.
Main Methods:
- Utilized Electrospray Ionization in the negative ion mode coupled with Fourier transform ion cyclotron resonance mass spectrometry (ESI(-) FT-ICR MS).
- Applied two different data preprocessing techniques to analyze complex petroleomic datasets.
- Examined lacustrine oils from two Brazilian Pre-salt basins as a case study.
Main Results:
- The comparison of data preprocessing methodologies revealed distinct advantages for each approach in FT-ICR MS petroleomics.
- Specific preprocessing strategies were shown to enhance the ability to differentiate between petroleum samples from different geological basins.
Conclusions:
- Data preprocessing significantly impacts the insights gained from FT-ICR MS petroleomics.
- The chosen methodologies provide valuable tools for detailed petroleum characterization and inter-basin oil discrimination, particularly for lacustrine systems.
