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将三种不同的光学轨道纳入到 IR-MALDESI 质谱成像平台中,以对. 进行特征分析。

Incorporation of Three Different Optical Trains into the IR-MALDESI Mass Spectrometry Imaging Platform to Characterize .

出版信息

J Am Soc Mass Spectrom. 2024 Jun 5;35(6):1245-1252. doi: 10.1021/jasms.4c00060. Epub 2024 Apr 30.

Abstract

Artemisinin is the leading medication for the treatment of malaria and is only produced naturally in . The localization of artemisinin in both the glandular and non-glandular trichomes of the plant makes it an ideal candidate for mass spectrometry imaging (MSI) as a model system for method development. Infrared matrix-assisted laser desorption electrospray ionization MSI (IR-MALDESI-MSI) has the capability to detect hundreds to thousands of analytes simultaneously, providing abundance information in conjunction with species localization throughout a sample. The development of several new optical trains and their application to the IR-MALDESI-MSI platform has improved data quality in previous proof-of-concept experiments but has not yet been applied to analysis of native biological samples, especially the MSI analysis of plants. This study aimed to develop a workflow and optimize MSI parameters, specifically the laser optical train, for the analysis of with the NextGen IR-MALDESI platform coupled to an Orbitrap Exploris 240 mass spectrometer. Two laser optics were compared to the conventional set up, of which include a Schwarzschild-like reflective objective and a diffractive optical element (DOE). These optics, respectively, enhance the spatial resolution of imaging experiments or create a square spot shape for top-hat imaging. Ultimately, we incorporated and characterized three different optical trains into our analysis of to study metabolites in the artemisinin pathway. These improvements in our workflow, resulted in high spatial resolution and improved ion abundance from previous work, which will allow us to address many different questions in plant biology beyond this model system.

摘要

青蒿素是治疗疟疾的主要药物,仅在 自然产生。青蒿素在植物的腺毛和非腺毛中的定位使其成为质谱成像 (MSI) 的理想候选物,可作为方法开发的模型系统。红外基质辅助激光解吸电喷雾电离 MSI(IR-MALDESI-MSI)能够同时检测数百到数千种分析物,提供与整个样品中物种定位相关的丰度信息。几个新的光学轨道的发展及其在 IR-MALDESI-MSI 平台上的应用提高了之前概念验证实验中的数据质量,但尚未应用于天然生物样品的分析,特别是植物的 MSI 分析。本研究旨在开发一个工作流程并优化 MSI 参数,特别是激光光学轨道,用于分析 ,方法是将 NextGen IR-MALDESI 平台与 Orbitrap Exploris 240 质谱仪耦合。将两种激光光学元件与传统设置进行了比较,其中包括 Schwarzschild 反射物镜和衍射光学元件 (DOE)。这两种光学元件分别增强了成像实验的空间分辨率或为平顶成像创建方形光斑形状。最终,我们将三种不同的光学轨道纳入到我们对 的分析中,以研究青蒿素途径中的代谢物。我们的工作流程中的这些改进,导致空间分辨率提高,离子丰度也高于之前的工作,这将使我们能够解决植物生物学中除了这个模型系统之外的许多不同问题。

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