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基于激光解吸-介质阻挡放电电离质谱成像的不同种类乳酸菌原位代谢谱分析

In-Situ Metabolic Profiling of Different Kinds of L. by Laser Desorption-Dielectric Barrier Discharge Ionization Mass Spectrometry Imaging.

作者信息

Xiao Xue, Guan Xiaokang, Xu Zhouyi, Lu Qiao

机构信息

Department of Laboratory Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan 442000, China.

Hubei Key Laboratory of Wudang Local Chinese Medicine Research, Hubei University of Medicine, Shiyan 442000, China.

出版信息

Metabolites. 2024 Feb 21;14(3):131. doi: 10.3390/metabo14030131.

Abstract

With its high resolving power and sensitivity, mass spectrometry is considered the most informative technique for metabolite qualitation and quantification in the plant sciences. However, the spatial location information, which is crucial for the exploration of plant physiological mechanisms, is lost. Mass spectrometry imaging (MSI) is able to visualize the spatial distribution of a large number of metabolites from the complex sample surface in a single experiment. In this paper, a flexible and low-cost laser desorption-dielectric barrier discharge ionization-MSI (LD-DBDI-MSI) platform was constructed by combining an LD system with an in-line DBDI source, a high-precision sample translation stage, and an ambient mass spectrometer. It can be operated at a spatial resolution of 20 μm in an atmospheric environment and requires minimal sample preparation. This study presents images of in-situ metabolic profiling of two kinds of plants from different origins, a wild and a farmed L. From the screen of these two root sections, the wild one presented five more endogenous molecules than the farmed one, which provides information about the differences in metabolomics.

摘要

由于具有高分辨率和灵敏度,质谱法被认为是植物科学中用于代谢物定性和定量分析的最具信息性的技术。然而,对于植物生理机制探索至关重要的空间位置信息却丢失了。质谱成像(MSI)能够在单次实验中从复杂样品表面可视化大量代谢物的空间分布。本文通过将激光解吸(LD)系统与在线介质阻挡放电电离(DBDI)源、高精度样品平移台和常压质谱仪相结合,构建了一个灵活且低成本的激光解吸 - 介质阻挡放电电离 - 质谱成像(LD - DBDI - MSI)平台。它可以在大气环境中以20μm的空间分辨率运行,并且所需的样品制备极少。本研究展示了两种不同来源植物(一种野生和一种种植的L.)原位代谢谱的图像。从这两个根段的筛选中,野生植物比种植植物多呈现出五种内源性分子,这为代谢组学差异提供了信息。

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