Lei Jiajun, Mahar Rohit, Chang Mario C, Collins James, Merritt Matthew E, Garrett Timothy J, Yost Richard A
Department of Chemistry, University of Florida, Gainesville, Florida32611, United States.
Department of Biochemistry and Molecular Biology, University of Florida, Gainesville, Florida32610, United States.
Anal Chem. 2023 Jan 11. doi: 10.1021/acs.analchem.2c03974.
Building an accurate lipid inventory relies on coordinated information from orthogonal analytical capabilities. Integrating the familiar workflow of liquid chromatography (LC), high-resolution mass spectrometry (HRMS), and tandem mass spectrometry (MS/MS) with proton nuclear magnetic resonance spectroscopy (H NMR) would be ideal for building that inventory. For absolute lipid structural elucidation, LC-HRMS/MS can provide lower-level structural information with superior sensitivity, while H NMR can provide invaluable higher-order structural information for the disambiguation of isomers with absolute chemical specificity. Digitization of the LC eluent followed by splitting the microfractions into two flow paths in a defined ratio for HRMS/MS and NMR would be the ideal strategy to permit correlation of the MS and NMR data as a function of chromatographic retention time. Here, we report an active segmentation platform to transform analytical flow rate LC eluent into parallel microliter segmented flow queues for high confidence correlation of the MS, MS/MS, and NMR data. The practical details in implementing this strategy to achieve an integrated LC-MS-NMR platform are presented, including the development of an active segmentation technology using a four-port two-way valve to transform the LC eluent into parallel segmented flows for online MS analysis followed by offline segment-specific H NMR and optimization of the detector response toward segmented flow. To demonstrate the practicality of this novel platform, it was tested using lipid mixture samples.
构建准确的脂质清单依赖于来自正交分析能力的协调信息。将液相色谱(LC)、高分辨率质谱(HRMS)和串联质谱(MS/MS)等熟悉的工作流程与质子核磁共振光谱(H NMR)相结合,对于构建该清单来说将是理想的选择。对于绝对脂质结构解析,LC-HRMS/MS能够以卓越的灵敏度提供较低层次的结构信息,而H NMR可以提供具有绝对化学特异性的、用于异构体区分的极有价值的高阶结构信息。将LC洗脱液数字化,然后以确定的比例将微馏分分成两条流路用于HRMS/MS和NMR,这将是使MS和NMR数据能够根据色谱保留时间进行关联的理想策略。在此,我们报告了一个主动分割平台,用于将分析流速的LC洗脱液转化为平行的微升分割流队列,以实现MS、MS/MS和NMR数据的高可信度关联。文中介绍了实施该策略以实现集成LC-MS-NMR平台的实际细节,包括开发一种使用四通二通阀的主动分割技术,将LC洗脱液转化为平行的分割流用于在线MS分析,随后进行离线的特定片段H NMR分析,以及优化检测器对分割流的响应。为了证明这个新型平台的实用性,使用脂质混合物样本对其进行了测试。