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基于三酰基甘油的脂肪酸的碳-13 同位素组学和代谢组学:克服 GC-C-IRMS 对短链和中链的限制。

Carbon-13-isotopomics and metabolomics of fatty acids from triacylglycerols: overcoming the limitations of GC-C-IRMS for short- and medium-acyl chains.

机构信息

CEISAM, Interdisciplinary Chemistry: Synthesis, Analysis, Modeling, Nantes University-CNRS UMR 6230, 2 Rue de La Houssinière, BP 92208, 44322, Nantes Cedex 3, France.

LMFI, Laboratory of Metrology and Isotopic Fractionation, Research Unit: Technologies Et Valorisation Agroalimentaire (TVA), Faculty of Science, Saint Joseph University of Beirut, Mar Mikhael, P.O. Box 17-5208, Beirut, 1104 2020, Lebanon.

出版信息

Anal Bioanal Chem. 2024 Nov;416(26):5557-5564. doi: 10.1007/s00216-024-05479-3. Epub 2024 Aug 19.

Abstract

Carbon-13 isotopomics of triacylglycerol (TAG) fatty acids or free fatty acids in biological matrices holds considerable potential in food authentication, forensic investigations, metabolic studies, and medical research. However, challenges arise in the isotopic analysis of short- and medium-chain (C4 to C10) fatty acid methyl esters (SMCFAMEs) through gas chromatography-combustion-isotope ratio mass spectrometry (GC-C-IRMS). The high volatility of these esters results in losses during their preparation, leading to isotopic fractionation. Moreover, the methoxy group added to acyl chains requires the correction of δC values, thereby increasing the uncertainty of the final results. Analyzing free fatty acids (FFAs) addresses both issues encountered with SMCFAMEs. To achieve this objective, we have developed a new protocol enabling the isotopomics of individual fatty acids (FAs) by GC-C-IRMS. The same experiment also provides the FA profile, i.e., the relative percentage of each FA in the TAG hydrolysate or its concentration in the studied matrix. The method exhibited high precision, as evidenced by the repeatability and within-lab reproducibility of results when tested on TAGs from both animal and vegetal origins. Compared to the analysis of FAMEs by GC-C-IRMS, the current procedure also brings several improvements in alignment with the principles of green analytical chemistry and green sample preparation. Thus, we present a two-in-one method for C-isotopomic and metabolomic biomarker quantitation within quasi-universal TAG compounds, encompassing the short- and medium-acyl chains.

摘要

生物基质中三酰基甘油 (TAG) 脂肪酸或游离脂肪酸的碳 13 同位素组学在食品鉴定、法医学调查、代谢研究和医学研究中具有相当大的潜力。然而,通过气相色谱-燃烧-同位素比质谱法 (GC-C-IRMS) 对短链和中链 (C4 至 C10) 脂肪酸甲酯 (SMCFAME) 进行同位素分析时会遇到一些挑战。这些酯的高挥发性导致在其制备过程中损失,从而导致同位素分馏。此外,添加到酰基链的甲氧基基团需要校正 δC 值,从而增加最终结果的不确定性。分析游离脂肪酸 (FFA) 可以解决 SMCFAME 中遇到的两个问题。为了实现这一目标,我们开发了一种新的协议,通过 GC-C-IRMS 实现单个脂肪酸 (FA) 的同位素组学分析。同一实验还提供 FA 图谱,即 TAG 水解物中每种 FA 的相对百分比或研究基质中 FA 的浓度。该方法表现出很高的精密度,通过对动物和植物来源的 TAG 进行测试,证明了结果的重复性和实验室内部再现性。与 GC-C-IRMS 分析 FAME 相比,目前的程序还根据绿色分析化学和绿色样品制备的原则进行了一些改进。因此,我们提出了一种用于准通用 TAG 化合物中 C 同位素组学和代谢组学生物标志物定量的二合一方法,涵盖短链和中链。

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