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通过脂质去除和大体积进样气相色谱-高分辨率质谱法研究人血浆中的化学暴露组学。

Chemical Exposomics in Human Plasma by Lipid Removal and Large-Volume Injection Gas Chromatography-High-Resolution Mass Spectrometry.

机构信息

Department of Environmental Science, Stockholm University, 106 91 Stockholm, Sweden.

National Facility for Exposomics, Metabolomics Platform, Science for Life Laboratory, Stockholm University, 171 65 Solna, Sweden.

出版信息

Environ Sci Technol. 2024 Oct 8;58(40):17592-17605. doi: 10.1021/acs.est.4c05942. Epub 2024 Sep 24.

Abstract

For comprehensive chemical exposomics in blood, analytical workflows are evolving through advances in sample preparation and instrumental methods. We hypothesized that gas chromatography-high-resolution mass spectrometry (GC-HRMS) workflows could be enhanced by minimizing lipid coextractives, thereby enabling larger injection volumes and lower matrix interference for improved target sensitivity and nontarget molecular discovery. A simple protocol was developed for small plasma volumes (100-200 μL) by using isohexane (H) to extract supernatants of acetonitrile-plasma (A-P). The HA-P method was quantitative for a wide range of hydrophobic multiclass target analytes (i.e., log > 3.0), and the extracts were free of major lipids, thereby enabling robust large-volume injections (LVIs; 25 μL) in long sequences (60-70 h, 70-80 injections) to a GC-Orbitrap HRMS. Without lipid removal, LVI was counterproductive because method sensitivity suffered from the abundant matrix signal, resulting in low ion injection times to the Orbitrap. The median method quantification limit was 0.09 ng/mL (range 0.005-4.83 ng/mL), and good accuracy was shown for a certified reference serum. Applying the method to plasma from a Swedish cohort ( = 32; 100 μL), 51 of 103 target analytes were detected. Simultaneous nontarget analysis resulted in 112 structural annotations (12.8% annotation rate), and Level 1 identification was achieved for 7 of 8 substances in follow-up confirmations. The HA-P method is potentially scalable for application in cohort studies and is also compatible with many liquid-chromatography-based exposomics workflows.

摘要

为了在血液中进行全面的化学暴露组学研究,分析工作流程正在通过样品制备和仪器方法的进步而不断发展。我们假设通过最小化脂质共提物,可以增强气相色谱-高分辨率质谱(GC-HRMS)工作流程,从而能够进行更大的进样体积,并降低基质干扰,以提高目标灵敏度和非目标分子的发现。我们开发了一种针对小体积血浆(100-200 μL)的简单方案,使用异己烷(H)提取乙腈-血浆(A-P)上清液。HA-P 方法对广泛的疏水性多类目标分析物(即 log > 3.0)具有定量性,并且提取物中没有主要脂质,从而能够进行稳健的大体积进样(LVI;25 μL),以进行长序列(60-70 h,70-80 次进样)至 GC-Orbitrap HRMS。如果不进行脂质去除,LVI 则适得其反,因为方法灵敏度会受到大量基质信号的影响,导致离子注入到 Orbitrap 的时间减少。该方法的定量下限为 0.09 ng/mL(范围为 0.005-4.83 ng/mL),并且对于经过认证的参考血清显示出良好的准确性。将该方法应用于来自瑞典队列的血浆(= 32;100 μL)中,检测到 103 个目标分析物中的 51 个。同时进行非目标分析得到 112 个结构注释(12.8%注释率),在后续确认中,有 7 种物质达到了 1 级鉴定。HA-P 方法具有潜在的可扩展性,可用于队列研究,并且也与许多基于液相色谱的暴露组学工作流程兼容。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8adf/11465644/c5b9ca29a4b4/es4c05942_0001.jpg

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