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一种可行的策略,可通过 FTICR-MS 在无需内标校准的情况下提高对复杂有机混合物(如天然有机物)中化合物的有把握的元素组成测定。

A feasible strategy to improve confident elemental composition determination of compounds in complex organic mixture such as natural organic matter by FTICR-MS without internal calibration.

机构信息

State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Science, Chinese Academy of Sciences, P.O. Box 2871, 18 Shuangqing Road, Haidian District, Beijing 100085, China.

Central Lab, Navy General Hospital, PLA, 6 Fucheng Road, Haidian District, Beijing 100048, China.

出版信息

Sci Total Environ. 2021 Jan 10;751:142255. doi: 10.1016/j.scitotenv.2020.142255. Epub 2020 Sep 11.

Abstract

Confident elemental composition determination of compounds in complex samples such as natural organic matter (NOM) by ultrahigh resolution Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) is challenging due to the interference between multiple components in these samples during detection. Here the performance of Solarix 15T-FTICR-MS in terms of accurate relative natural isotope abundance (RIA) and mass measurements for elemental composition determination of compounds in complex samples such as NOM was systematically evaluated. The optimal sweep excitation power values ranging from 20% to 22% was found to significantly diminish the underestimation of RIA measurement for C peaks of NOM components by FTICR-MS. Random error was found to be one of the main sources for the RIA errors of C peaks with S/N ratios <25. The mean averaged RIA errors of less than 10% could be obtained by averaging the measured RIAs of each C peaks in five replicated runs. By adjusting the total ion abundance of NOM complex sample between 3.8-E7 and 1.4-E8 which was simultaneously similar to that of external calibrant during detection, mass errors of lower than 1 ppm for NOM components with m/z lower than 700 Da could be obtained without internal calibration. Meanwhile, a linear correlation between mass errors of ions in NOM complex sample and their m/z values could be obtained. The mass error deviation derived from the linearity was firstly used as new criterion to reduce the number of false formula candidates. A novel strategy of combination of high mass accuracy, high spectral accuracy, and mass error deviation for elemental composition determination of unknown compounds in complex sample such as NOM by FTICR-MS was proposed and applied for different complex samples. Compared to the traditional method, about one fold increasement in the number of the unique formula assignments for measured ions was obtained by using our strategy.

摘要

由于在这些样品中检测时多个成分之间存在干扰,因此要通过超高效分辨率傅里叶变换离子回旋共振质谱(FTICR-MS)对天然有机物(NOM)等复杂样品中的化合物进行有信心的元素组成确定是具有挑战性的。在此,系统评估了 Solarix 15T-FTICR-MS 在准确的相对天然同位素丰度(RIA)和质量测量方面的性能,以确定 NOM 等复杂样品中化合物的元素组成。发现最佳扫频激发功率值范围为 20%至 22%,可显著减少 FTICR-MS 对 NOM 成分的 C 峰 RIA 测量的低估。发现随机误差是具有<25 的 S/N 比的 C 峰 RIA 误差的主要来源之一。通过在五个重复运行中平均每个 C 峰的测量 RIA,可以获得小于 10%的平均平均 RIA 误差。通过将 NOM 复杂样品的总离子丰度调整为 3.8-E7 到 1.4-E8 之间,同时在检测过程中与外部校准剂的总离子丰度相似,可以获得 m/z 低于 700 Da 的 NOM 成分的质量误差低于 1 ppm,而无需内部校准。同时,可以获得 NOM 复杂样品中离子的质量误差偏差与它们的 m/z 值之间的线性相关性。首先将源自线性度的质量误差偏差用作减少错误公式候选数量的新标准。提出并应用了一种新的策略,通过 FTICR-MS 对 NOM 等复杂样品中的未知化合物进行高质量精度,高光谱精度和质量误差偏差的组合,以确定元素组成。与传统方法相比,通过使用我们的策略,可以为测量离子获得约一倍的唯一公式赋值数量的增加。

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