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麦芽糖功能化金属有机骨架辅助激光解吸/电离质谱法用于小分子生物测定。

Maltose-functional metal-organic framework assisted laser desorption/ionization mass spectrometry for small biomolecule determination.

机构信息

State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China.

Key Laboratory of Chemical Metrology and Applications On Nutrition and Health for State Market Regulation, Division of Metrology in Chemistry, National Institute of Metrology, Beijing, 100029, China.

出版信息

Mikrochim Acta. 2022 Jun 11;189(7):253. doi: 10.1007/s00604-022-05338-x.

DOI:10.1007/s00604-022-05338-x
PMID:35689150
Abstract

A series of functional metal-organic frameworks (MOFs) were facilely prepared through an one-pot procedure or post-synthetic modification strategy and used as matrices in laser desorption ionization mass spectrometry (LDI-MS). Compared with traditional organic matrices and other MOFs, maltose-functional MOF MIL-101-maltose demonstrated ultrahigh ionization efficiency, free matrix background, uniform crystallization, and good dispersibility. A simple, general, and efficient LDI-MS platform was developed for rapid detection of various small biomolecules using MIL-101-maltose as matrix, providing several advantages including low sample consumption of 500 nL, short analysis time of few seconds, strong salt tolerance (500 mM NaCl), and satisfactory reproducibility. The MIL-101-maltose matrix was used for serum glucose determination and successfully distinguished the diabetic patients from the healthy controls. This work provides a generic LDI-MS platform for fast determination of small biomolecules with high potential in clinical diagnosis and disease monitoring.

摘要

通过一锅法或后合成修饰策略,简便地制备了一系列功能化金属有机骨架(MOFs),并将其用作激光解吸电离质谱(LDI-MS)中的基质。与传统的有机基质和其他 MOFs 相比,麦芽糖功能化 MOF MIL-101-麦芽糖表现出超高的离化效率、无基质背景、均匀的结晶和良好的分散性。使用 MIL-101-麦芽糖作为基质,开发了一种简单、通用且高效的 LDI-MS 平台,用于快速检测各种小分子生物分子,其具有几个优点,包括 500 nL 的低样品消耗、几秒钟的短分析时间、强耐盐性(500 mM NaCl)和令人满意的重现性。MIL-101-麦芽糖基质用于血清葡萄糖测定,并成功地区分了糖尿病患者和健康对照者。这项工作为快速测定小分子生物分子提供了一个通用的 LDI-MS 平台,在临床诊断和疾病监测方面具有很高的应用潜力。

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