Direct sulfur-containing compound speciation in crude oils and high-boiling fractions by APCI (+) FT-ICR mass spectrometry.

Danielle Mitze Muller Franco,Taynara Rodrigues Covas, Rosana Cardoso Lopes Pereira,Lidya Cardozo da Silva, Mario Duncan Rangel,Rosineide Costa Simas, Gabriel Henry Morais Dufrayer,Boniek Gontijo Vaz

Analytical methods : advancing methods and applications(2024)

引用 0|浏览5
暂无评分
摘要
In this study, we focus on advancing the methodology for detecting sulfur-containing compounds (SCCs) in crude oils and their derivatives. These compounds are critical for geochemical analysis, crude oil evaluation, and overcoming production and refining challenges. Although various analytical techniques exist, the precision and resolution power of Fourier Transform Ion Cyclotron Resonance Mass Spectrometry (FT-ICR MS) stand out. However, the current methods for characterizing SCCs in petroleum products often lack standardization and tend to be complex and time-consuming. Our research introduces the use of Atmospheric Pressure Chemical Ionization (APCI) as an efficient alternative. We employed a mixture of toluene and methanol (1 : 1 ratio) for APCI, which demonstrated superior performance in sulfur speciation compared to mixtures of toluene and acetonitrile. Our specified method showed high repeatability, with coefficients of variation reported between 5% and 14%. This method effectively covers a wide range of double bond equivalents (DBEs) from 1 to 25 and various carbon numbers, demonstrating notable repeatability and reproducibility. Compared to results from ESI post-S-methylation and Atmospheric Pressure Photoionization (APPI), APCI offers a more comprehensive analysis of sulfur compounds, presenting a broad spectrum of molecular formulae and extending across a vast range of carbon numbers and DBEs. Here, we demonstrate that APCI is a robust and efficient method for direct and extensive sulfur speciation in crude oil and its high-boiling fractions, marking a significant advancement over existing techniques. This methodological improvement opens new pathways for more accurate and efficient sulfur compound analysis in petroleum products.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要