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一种用于校正电喷雾电离高分辨质谱中磷脂同位素相关干扰的自动化工作流程。

: An Automated Workflow to Account for Isotopologue-Related Interferences in Electrospray Ionization High-Resolution Mass Spectra of Phospholipids.

出版信息

J Am Soc Mass Spectrom. 2021 Apr 7;32(4):1008-1019. doi: 10.1021/jasms.1c00008. Epub 2021 Mar 11.

Abstract

In the past decade, hydrophilic interaction liquid chromatography (HILIC) has emerged as an efficient alternative to reversed-phase chromatography (RPC) for the analysis of phospholipid (PL) mixtures based on mass spectrometric detection. Since the separation of PL by HILIC is chiefly based on their headgroup, the mass spectrum of each class can be obtained by spectral averaging under the corresponding HILIC band. Using experimental / values resulting from high mass resolution/accuracy instruments, the sum compositions of PL in a specific class can be thus inferred but partial overlapping may occur between signals related to the M + 0 isotopologue of one species and the M + 2/M + 4 isotopologues of species having one/two more C═C bonds in their chemical structures. Here, an automated workflow, named (lipid isotopic pattern interference correction), is proposed to account for such interferences. Starting from the experimentally verified assumption that peaks in isotope patterns are Gaussian, predicts, as a function of / ratio, signal intensities due to M + 2 and M + 4 isotopologues of species with one or two more C = C bonds than the target one and calculates the corrected intensity for the M + 0 isotopologue of the latter. Thanks to an iterative procedure, the suggested algorithm compensates also for slight shifts occurring between experimental and theoretical / ratios related to isotopologue peaks. Examples of applications to simulated and experimental mass spectra of two PL classes, i.e., phosphatidylcholines (PC) and cardiolipins (CL), emphasize the increased extent of correction at the increase of molecular masses of involved species.

摘要

在过去的十年中,亲水作用色谱(HILIC)已成为基于质谱检测分析磷脂(PL)混合物的反相色谱(RPC)的有效替代方法。由于 HILIC 对 PL 的分离主要基于其头部基团,因此可以通过在相应的 HILIC 带下进行光谱平均获得每个类别的质谱。使用来自高质量分辨率/准确性仪器的实验值/值,可以推断出特定类别中 PL 的总和组成,但与一种物质的 M + 0 同位素峰相关的信号与具有一个/两个更多 C═C 键的物质的 M + 2/M + 4 同位素峰之间可能会发生部分重叠。在这里,提出了一种名为(脂质同位素模式干扰校正)的自动工作流程来解决这种干扰。从实验验证的假设开始,即同位素模式中的峰是高斯分布的,根据 / 比预测具有一个或两个以上 C = C 键的物质的 M + 2 和 M + 4 同位素峰的信号强度,并计算出后者的 M + 0 同位素峰的校正强度。由于迭代过程,该算法还可以补偿与同位素峰相关的实验和理论 / 比之间发生的微小偏移。对两个 PL 类别的模拟和实验质谱(即磷脂酰胆碱(PC)和心磷脂(CL))的应用示例强调了随着涉及物质的分子量增加,校正程度的增加。

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