Evidence map›Paper›PMID 42393844›Full record

ArticleJournal of mass spectrometry : JMS2026

Petroleomics FT-ICR MS Data Processing Methods for Inter-Basin Discrimination of Lacustrine Oils From Two Brazilian Pre-Salt Basins.

Luan Felipe Campos Oliveira, Jose Javier Melendez-Perez, Sérgio Eduardo Bernardo Mistura Lutzer, Alessandra Sussulini, Marcos Nogueira Eberlin

Abstract read
In one paragraph

Article in Journal of mass spectrometry : JMS, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Luan Felipe Campos OliveiraLaboratory of Bioanalytics and Integrated Omics (LaBIOmics), Department of Analytical Chemistry, Institute of Chemistry, Universidade Estadual de Campinas (UNICAMP), Campinas, SP, Brazil.ORCID https://orcid.org/0000-0003-0473-168X
Jose Javier Melendez-PerezLaboratory of Bioanalytics and Integrated Omics (LaBIOmics), Department of Analytical Chemistry, Institute of Chemistry, Universidade Estadual de Campinas (UNICAMP), Campinas, SP, Brazil.
Sérgio Eduardo Bernardo Mistura LutzerSchool of Engineering and Mackgraphe, PPGEMN, Mackenzie Presbyterian University, São Paulo, SP, Brazil.
Alessandra SussuliniLaboratory of Bioanalytics and Integrated Omics (LaBIOmics), Department of Analytical Chemistry, Institute of Chemistry, Universidade Estadual de Campinas (UNICAMP), Campinas, SP, Brazil.ORCID https://orcid.org/0000-0002-5092-5867
Marcos Nogueira EberlinSchool of Engineering and Mackgraphe, PPGEMN, Mackenzie Presbyterian University, São Paulo, SP, Brazil.

Funding

Brazilian National Council of Scientific and Technologic Development 306662/2022-1Brazilian National Council of Scientific and Technologic Development 408338/2024-5Petrobras Research, Development and Innovation Center, and Brazilian company Petrobras CENPES/PetrobrasPetroleum, Natural Gas and Biofuels, National Agency (ANP)Petroleum, Natural Gas and Biofuels, National Agency (ANP),research foundation MackPesquisaSão Paulo Research Foundation 2023/01800-2São Paulo Research Foundation 2025/26623-1
6 · The paper itself

Abstract

Nonvolatile and polar fractions, largely composed of NSO heteroatom-containing compounds, play a key role in petroleum characterization by providing insights into organic geochemical parameters, such as thermal maturity and depositional environment, as well as physicochemical properties, including acidity and basicity. Electrospray ionization in the negative ion mode coupled with Fourier transform ion cyclotron resonance mass spectrometry (ESI(-) FT-ICR MS) applied to undisturbed whole oil samples has been established as a gold-standard technique for oil characterization, owing to its ability to directly ionize a broad range of polar compounds. However, the large volume and complexity of the resulting data pose significant challenges for data preprocessing, analysis, and visualization. In this study, we compared two distinct data preprocessing methodologies and show them to provide deeper insight into their application in FT-ICR MS petroleomics for inter-basin discrimination. We used lacustrine oils from two Brazilian Pre-salt basins as a case study.

Indexed as

chemometricscrude oilFT‐ICR MSlacustrineNSO compoundspetroleomicspre‐salt

Identifiers

PMID42393844
PMCPMC13328804

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.