使用环境离子的平均频率位移对傅里叶变换离子回旋共振质谱成像数据进行大规模重新校准。
Mass recalibration of FT-ICR mass spectrometry imaging data using the average frequency shift of ambient ions.
机构信息
W. M. Keck FT-ICR Mass Spectrometry Laboratory, Department of Chemistry, North Carolina State University, Raleigh, NC 27695, USA.
出版信息
J Am Soc Mass Spectrom. 2013 Jul;24(7):1137-45. doi: 10.1007/s13361-013-0659-0. Epub 2013 May 29.
Abstract
Achieving and maintaining high mass measurement accuracy (MMA) throughout a mass spectrometry imaging (MSI) experiment is vital to the identification of the observed ions. However, when using FTMS instruments, fluctuations in the total ion abundance at each pixel due to inherent biological variation in the tissue section can introduce space charge effects that systematically shift the observed mass. Herein we apply a recalibration based on the observed cyclotron frequency shift of ions found in the ambient laboratory environment, polydimethylcyclosiloxanes (PDMS). This calibration method is capable of achieving part per billion (ppb) mass accuracy with relatively high precision for an infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI) MSI dataset. Comparisons with previously published mass calibration approaches are also presented.
摘要
实现和保持质谱成像（MSI）实验中的高质量测量精度（MMA）对于鉴定观察到的离子至关重要。然而，在使用傅里叶变换质谱仪（FTMS）仪器时，由于组织切片中固有的生物学变化，每个像素的总离子丰度的波动会引入空间电荷效应，从而系统地改变观察到的质量。在这里，我们应用了一种基于在环境实验室环境中发现的离子的回旋频率漂移的重新校准，聚二甲基环硅氧烷（PDMS）。这种校准方法能够以相对较高的精度实现十亿分之一（ppb）的质量精度，适用于红外辅助激光解吸电喷雾电离（IR-MALDESI）MSI 数据集。还介绍了与以前发表的质量校准方法的比较。
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