Claesen Jürgen, Rockwood Alan, Gorshkov Mikhail, Valkenborg Dirk
Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Epidemiology and Data Science, Amsterdam, The Netherlands.
I-Biostat, Data Science Institute, Hasselt University, Hasselt, Belgium.
Mass Spectrom Rev. 2025 Jan-Feb;44(1):22-42. doi: 10.1002/mas.21820. Epub 2023 Feb 6.
The isotope distribution, which reflects the number and probabilities of occurrence of different isotopologues of a molecule, can be theoretically calculated. With the current generation of (ultra)-high-resolution mass spectrometers, the isotope distribution of molecules can be measured with high sensitivity, resolution, and mass accuracy. However, the observed isotope distribution can differ substantially from the expected isotope distribution. Although differences between the observed and expected isotope distribution can complicate the analysis and interpretation of mass spectral data, they can be helpful in a number of specific applications. These applications include, yet are not limited to, the identification of peptides in proteomics, elucidation of the elemental composition of small organic molecules and metabolites, as well as wading through peaks in mass spectra of complex bioorganic mixtures such as petroleum and humus. In this review, we give a nonexhaustive overview of factors that have an impact on the observed isotope distribution, such as elemental isotope deviations, ion sampling, ion interactions, electronic noise and dephasing, centroiding, and apodization. These factors occur at different stages of obtaining the isotope distribution: during the collection of the sample, during the ionization and intake of a molecule in a mass spectrometer, during the mass separation and detection of ionized molecules, and during signal processing.
反映分子不同同位素异构体出现的数量和概率的同位素分布可以从理论上进行计算。使用当前一代的(超)高分辨率质谱仪,可以高灵敏度、高分辨率和高精度地测量分子的同位素分布。然而,观察到的同位素分布可能与预期的同位素分布有很大差异。尽管观察到的和预期的同位素分布之间的差异会使质谱数据分析和解释变得复杂,但它们在许多特定应用中可能会有所帮助。这些应用包括但不限于蛋白质组学中肽的鉴定、小分子有机化合物和代谢物元素组成的阐明,以及梳理复杂生物有机混合物(如石油和腐殖质)质谱中的峰。在本综述中,我们对影响观察到的同位素分布的因素进行了非详尽的概述,例如元素同位素偏差、离子采样、离子相互作用、电子噪声和去相位、峰位提取和变迹。这些因素在获取同位素分布的不同阶段出现:在样品采集期间、在质谱仪中分子的电离和引入期间、在离子化分子的质量分离和检测期间以及在信号处理期间。