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Accurate quantification of lipid species affected by isobaric overlap in Fourier-transform mass spectrometry

机译:精确定量受傅里叶变换质谱中的同位数重叠影响的脂质物种

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摘要

Lipidomics data require consideration of ions with near-identical masses, which comprises among others the Type-II isotopic overlap. This overlap occurs in series of lipid species differing only by number of double bonds (DBs) mainly because of the natural abundance of 13C-atoms. High-resolution mass spectrometry, such as Fourier-transform mass spectrometry (FTMS), is capable of resolving Type-II overlap depending on mass resolving power. In this work, we evaluated FTMS quantification accuracy of lipid species affected by Type-II overlap. Spike experiments with lipid species pairs of various lipid classes were analyzed by flow injection analysis-FTMS. Accuracy of quantification was evaluated without and with Type-II correction (using relative isotope abundance) as well as utilizing the first isotopic peak (M+1). Isobaric peaks, which were sufficiently resolved, were most accurate without Type-II correction. In cases of partially resolved peaks, we observed peak interference causing distortions in mass and intensity, which is a well-described phenomenon in FTMS. Concentrations of respective species were more accurate when calculated from M+1. Moreover, some minor species, affected by considerable Type-II overlap, could only be quantified by M+1. Unexpectedly, even completely unresolved peaks were substantially overcorrected by Type-II correction because of peak interference. The described method was validated including intraday and interday precisions for human serum and fibroblast samples. Taken together, our results show that accurate quantification of lipid species by FTMS requires resolution-depended data analysis.
机译:脂素数据需要考虑与近似相同的质量的离子,其包括II型同位素重叠。这种重叠发生在一系列脂质物种中,只有双键(DBS)的数量不同,主要是因为13C-原子的天然丰度。高分辨率质谱,例如傅立叶变换质谱(FTMS),能够根据质量分辨率解决II型重叠。在这项工作中,我们评估了受II型重叠影响的脂质物种的FTMS定量准确度。通过流动注射分析 - FTMS分析脂质物种对各种脂质类别的尖峰实验。评估定量的准确性,无需效果II型校正(使用相对同位素丰度)以及利用第一同位素峰(M + 1)。没有型号II校正,充分解决的同位数峰值最准确。在部分分辨峰的情况下,我们观察到导致质量和强度的畸变的峰值干扰,这是FTMS中的描述良好的现象。当从M + 1计算时,各种物种的浓度更准确。此外,受相当于II类重叠影响的一些次要物种只能通过M + 1量化。出乎意料地,由于峰值干扰,甚至完全未解决的峰值基本上被II型校正大量过度校正。验证所描述的方法包括用于人血清和成纤维细胞样品的内部和白天精度。我们的结果表明,通过FTMS精确定量脂质物种需要分辨率依赖于数据分析。

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