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微通道集成黑磷辅助激光解吸/电离质谱法检测血清磷脂。

Detection of serum phospholipids by microchannel-integrated black phosphorus-assisted laser desorption/ionization mass spectrometry.

机构信息

Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.

Shenzhen Engineering Laboratory of Single-molecule Detection and Instrument Development, Shenzhen, 518055, China.

出版信息

Talanta. 2022 Jan 15;237:122978. doi: 10.1016/j.talanta.2021.122978. Epub 2021 Oct 16.

DOI:10.1016/j.talanta.2021.122978
PMID:34736700
Abstract

Matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) has been widely applied in the analysis of phospholipids in biological samples. However, it remains a challenge to improve the sensitivity and reproducibility and to control the background noise of matrices. In this study, black phosphorus nanomaterial was used as the matrix of MALDI-MS, and microchannel technique was combined. This microchannel-integrated black phosphorus-assisted laser desorption/ionization (BPALDI) MS approach can effectively detect a variety of lipids with a small amount of sample, and has high sensitivity for phosphatidylcholines (PC) and lysophosphatidylcholines (LPC) with a detection limit of 0.2 μg/mL. Compared with traditional matrices, BPALDI-MS has the advantages of high sensitivity, good reproducibility, and high salt tolerance. This method was successfully applied in the detection of serum PC/LPC ratios in children patients with asthma or bronchopneumonia. This work provides a novel application of black phosphorus matrix and microchannel technique, and gives new insights into method development of rapid screening and identification of disease indicators in biological fluids.

摘要

基质辅助激光解吸电离质谱(MALDI-MS)已广泛应用于生物样品中磷脂的分析。然而,提高灵敏度和重现性以及控制基质的背景噪声仍然是一个挑战。在这项研究中,黑磷纳米材料被用作 MALDI-MS 的基质,并结合了微通道技术。这种微通道集成黑磷辅助激光解吸/电离(BPALDI)MS 方法可以有效地检测少量样品中的各种脂质,对磷脂酰胆碱(PC)和溶血磷脂酰胆碱(LPC)具有高灵敏度,检测限为 0.2μg/mL。与传统基质相比,BPALDI-MS 具有灵敏度高、重现性好、耐盐性高等优点。该方法成功应用于儿童哮喘或支气管肺炎患者血清 PC/LPC 比值的检测。这项工作为黑磷基质和微通道技术的新应用提供了思路,并为生物体液中疾病标志物的快速筛选和鉴定方法的发展提供了新的见解。

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