National Centre of Excellence in Mass Spectrometry Imaging (NiCE-MSI), National Physical Laboratory, Teddington TW11 0LW, United Kingdom.
Imaging and AI, Clinical Pharmacology and Safety Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge CB4 0WG, United Kingdom.
J Am Soc Mass Spectrom. 2020 Nov 4;31(11):2287-2295. doi: 10.1021/jasms.0c00237. Epub 2020 Oct 6.
Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) is a powerful label-free technique for mapping the spatial distribution of biomolecules directly from tissue. However, like most other MSI techniques, it suffers from low ionization yields and ion suppression effects for biomolecules that might be of interest for a specific application at hand. Recently, a form of laser postionization was introduced (coined MALDI-2) that critically boosts the ion yield for many glyco- and phospholipids by several orders of magnitude and makes the detection of further biomolecular species possible. While the MALDI-2 technique is being increasingly applied by the MSI community, it is still only implemented in fine vacuum ion sources in a pressure range of about 1-10 mbar. Here, we show the first implementation of the technique to a custom-built atmospheric pressure ion source coupled to an Orbitrap Elite system. We present results from parameter optimization of MALDI-2 at atmospheric pressure, compare our findings to previously published fine vacuum data, and show first imaging results from mouse cerebellum with a 20 μm pixel size. Our findings broaden the feasibility of the technique to overall more flexible atmospheric pressure ion sources.
基质辅助激光解吸/电离质谱成像(MALDI-MSI)是一种强大的无标记技术,可直接从组织中绘制生物分子的空间分布。然而,与大多数其他 MSI 技术一样,它也存在生物分子的电离产率低和离子抑制效应的问题,而这些生物分子可能是当前特定应用感兴趣的。最近,引入了一种激光后电离形式(称为 MALDI-2),它可使许多糖脂和磷脂的离子产率提高几个数量级,并使进一步的生物分子种类的检测成为可能。虽然 MALDI-2 技术越来越多地被 MSI 社区应用,但它仍仅在压力范围约为 1-10 mbar 的精细真空离子源中实施。在这里,我们展示了该技术在与 Orbitrap Elite 系统耦合的定制大气压离子源中的首次实现。我们介绍了大气压下 MALDI-2 的参数优化结果,将我们的发现与以前发表的精细真空数据进行了比较,并展示了使用 20 μm 像素大小的鼠标小脑的首次成像结果。我们的发现拓宽了该技术在更灵活的大气压离子源中的可行性。