Mass Spectrometry Laboratory, MolSys Research Unit, Department of Chemistry, University of Liège, Allée du Six Août, 11 - Quartier Agora, 4000, Liège, Belgium.
Anal Bioanal Chem. 2021 Apr;413(10):2831-2844. doi: 10.1007/s00216-021-03174-1. Epub 2021 Jan 30.
MALDI mass spectrometry imaging (MSI) allows the mapping and the tentative identification of compounds based on their m/z value. In typical MSI, a spectrum is taken at incremental 2D coordinates (pixels) across a sample surface. Single pixel mass spectra show the resolving power of the mass analyzer. Mass shift, i.e., variations of the m/z of the same ion(s), may occur from one pixel to another. The superposition of shifted masses from individual pixels peaks apparently degrades the resolution and the mass accuracy in the average spectrum. This leads to low confidence annotations and biased localization in the image. Besides the intrinsic performances of the analyzer, the sample properties (local composition, thickness, matrix deposition) and the calibration method are sources of mass shift. Here, we report a critical analysis and recommendations to mitigate these sources of mass shift. Mass shift 2D distributions were mapped to illustrate its effect and explore systematically its origin. Adapting the sample preparation, carefully selecting the data acquisition settings, and wisely applying post-processing methods (i.e., m/z realignment or individual m/z recalibration pixel by pixel) are key factors to lower the mass shift and to improve image quality and annotations. A recommended workflow, resulting from a comprehensive analysis, was successfully applied to several complex samples acquired on both MALDI ToF and MALDI FT-ICR instruments.
基质辅助激光解吸电离质谱成像(MALDI MSI)允许基于其 m/z 值对化合物进行定位和初步鉴定。在典型的 MSI 中,在样品表面的递增 2D 坐标(像素)上采集光谱。单个像素的质谱显示了质量分析器的分辨率。质量位移,即同一离子(多个)的 m/z 变化,可能会从一个像素到另一个像素发生。来自单个像素的移位质量的叠加显然会降低平均光谱中的分辨率和质量精度。这导致注释置信度低和图像定位偏差。除了分析器的固有性能外,样品性质(局部组成、厚度、基质沉积)和校准方法也是质量位移的来源。在这里,我们报告了一项批判性分析和建议,以减轻这些质量位移源的影响。绘制了质量位移 2D 分布以说明其影响,并系统地探索其来源。调整样品制备、仔细选择数据采集设置以及明智地应用后处理方法(即 m/z 重新对齐或逐个像素重新校准单个 m/z)是降低质量位移、提高图像质量和注释的关键因素。一个推荐的工作流程,来自全面的分析,成功地应用于在 MALDI ToF 和 MALDI FT-ICR 仪器上采集的几个复杂样本。