Institute of Chemistry, University of Tartu, Ravila 14a, Tartu, 50411, Estonia.
Institute of Chemistry, University of Tartu, Ravila 14a, Tartu, 50411, Estonia; Dipartimento di Scienza e Tecnologia Del Farmaco, Università di Torino, Via P. Giuria 9, 10125, Torino, Italy.
J Chromatogr A. 2021 Oct 25;1656:462555. doi: 10.1016/j.chroma.2021.462555. Epub 2021 Sep 15.
Amino compounds, such as amino acids and biogenic amines, are important metabolites that can be found in diverse natural matrices. The most common method for amino compound analysis nowadays is reversed-phase liquid chromatography tandem mass spectrometry (RPLC-MS/MS). However, due to the polar and the basic nature of amines, their RPLC retention is often insufficient or peaks are tailing. Derivatization is a way to overcome the issue and in the present work amino compounds are derivatized with diethyl ethoxymethylenemalonate (DEEMM) and analyzed by a RPLC triple quadrupole MS system in neutral loss scan (NLS) mode (loss of 46). This allows to target all compounds in the sample that undergo derivatization with DEEMM, so that the amino compound profile of the sample is obtained. To the best of our knowledge, the NLS acquisition mode has never been employed to target amino compounds after DEEMM derivatization. In the first part of the study, eight amino acids (arginine, aspartic acid, threonine, proline, tyrosine, tryptophan, phenylalanine and isoleucine) were employed as model compounds for method optimization, with good results in terms of DEEMM derivatives detection and repeatability. The developed method was successfully applied to a complex extract from the plant species Carduus nutans subsp. macrocephalus (Desf.) Nyman, with 18 amino acids and 3 other amines being identified. The proposed approach could be employed for straightforward identification of known and unknown amino compounds in different types of matrices.
氨基酸化合物,如氨基酸和生物胺,是在各种天然基质中都能找到的重要代谢物。目前分析氨基酸化合物最常用的方法是反相液相色谱串联质谱法(RPLC-MS/MS)。然而,由于胺类具有极性和碱性,它们在 RPLC 中的保留往往不足或峰形拖尾。衍生化是一种克服这个问题的方法,在本工作中,氨基酸用二乙基乙氧基亚甲基丙二腈(DEEMM)衍生化,然后用 RPLC 三重四极杆 MS 系统在中性丢失扫描(NLS)模式(丢失 46)下进行分析。这使得能够针对样品中所有与 DEEMM 发生衍生化的化合物,从而获得样品的氨基酸化合物谱。据我们所知,NLS 采集模式从未用于 DEEMM 衍生化后靶向氨基酸化合物。在研究的第一部分,我们使用八种氨基酸(精氨酸、天冬氨酸、苏氨酸、脯氨酸、酪氨酸、色氨酸、苯丙氨酸和异亮氨酸)作为模型化合物进行方法优化,在 DEEMM 衍生物检测和重复性方面取得了良好的结果。所开发的方法成功应用于 Carduus nutans subsp. macrocephalus(Desf.)Nyman 植物物种的复杂提取物中,鉴定出 18 种氨基酸和 3 种其他胺类。该方法可用于不同类型基质中已知和未知氨基酸化合物的直接鉴定。