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通过卤素标记结合液相色谱和高分辨率质谱对原油中的羧酸进行选择性分析。

Selective Profiling of Carboxylic Acid in Crude Oil by Halogen Labeling Combined with Liquid Chromatography and High-Resolution Mass Spectrometry.

作者信息

Huynh Khoa, Feilberg Karen Louise, Sundberg Jonas

机构信息

DTU Offshore, Technical University of Denmark, 2800 Lyngby, Denmark.

DTU Engineering Technology, Technical University of Denmark, 2750 Ballerup Denmark.

出版信息

J Am Soc Mass Spectrom. 2024 Aug 7;35(8):1680-1691. doi: 10.1021/jasms.4c00085. Epub 2024 Jul 10.

Abstract

Carboxylic acids are a small but essential compound class within petroleum chemistry, influencing crude oil behaviors in production and processing and causing environmental impacts. Detailed structural information is fundamental to understanding their influence on petroleum characteristics. However, characterizing acids in crude oil remains challenging due to matrix effects, structural diversity, and low abundance. In this work, we present a new methodology for profiling carboxylic acids by liquid-liquid extraction and selective derivatization using 4-bromo--methylbenzylamine (4-BNMA) followed by liquid chromatography and electrospray ionization Orbitrap mass spectrometry (LC-ESI-Orbitrap MS). The fragmentation of 4-BNMA derivatives produces a unique product ion pair, / 169/171, enabling the identification of chromatographic fractions containing carboxylic acids. The mass spectra of the corresponding fractions are extracted, and the acids are further computationally isolated based on the isotopic pattern. The method was optimized and validated using acid standards and systematic experimental designs, assuring robustness and sensitivity for nontarget screening purposes. This method detected up to 380 carboxylic acids in six Danish North Sea crude oils, with up to two carboxyl and other heteroatom functionalities (NSO). The results indicated that the most populated species are fatty acids (double bond equivalent (DBE) = 1) and small aromatic acids (DBE = 2-6). The predominance and diversities of compound classes in different samples are consistent with their corresponding bulk properties. Polyfunctional acids (O, NO, and SO) were observed due to exposure to oxidation and biodegradation. Also, the approach's applicability benefits high-resolution MS analysis by simplifying data processing for crude oil and potentially other high-organic and aqueous samples.

摘要

羧酸是石油化学中一类数量虽少但至关重要的化合物,影响着原油在生产和加工过程中的行为,并造成环境影响。详细的结构信息对于理解它们对石油特性的影响至关重要。然而,由于基质效应、结构多样性和低丰度,表征原油中的酸仍然具有挑战性。在这项工作中,我们提出了一种新的方法,通过液液萃取和使用4-溴-甲基苄胺(4-BNMA)进行选择性衍生化,随后进行液相色谱和电喷雾电离轨道阱质谱(LC-ESI-Orbitrap MS)来分析羧酸。4-BNMA衍生物的碎片化产生了独特的产物离子对,/169/171,能够识别含有羧酸的色谱馏分。提取相应馏分的质谱,并根据同位素模式进一步通过计算分离出酸。该方法使用酸标准品和系统的实验设计进行了优化和验证,确保了用于非目标筛选目的的稳健性和灵敏度。该方法在六种丹麦北海原油中检测到多达380种羧酸,其中最多含有两个羧基和其他杂原子官能团(NSO)。结果表明,数量最多的物种是脂肪酸(双键当量(DBE)=1)和小的芳香酸(DBE = 2-6)。不同样品中化合物类别的优势和多样性与其相应的整体性质一致。由于暴露于氧化和生物降解,观察到了多官能酸(O、NO和SO)。此外,该方法的适用性通过简化原油以及潜在的其他高有机物和水性样品的数据处理,有利于高分辨率质谱分析。

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