School of Environmental Studies, China University of Geosciences, Wuhan 430078, China.
Department of Civil and Environmental Engineering, Tokyo Institute of Technology, 2-12-1, Ookayama, Meguro-Ku, Tokyo 152-8550, Japan.
Anal Chem. 2022 Aug 2;94(30):10589-10594. doi: 10.1021/acs.analchem.2c01342. Epub 2022 Jul 21.
In order to obtain a spectrum with high mass accuracy, an internal calibration of Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) is inevitable. This in turn is critical for subsequent data processing and is generally performed using the commercial instrument software DataAnalysis in the benchmark calibration mode. However, no methodological study has systemically addressed the automated internal calibration of FTICR-MS spectra for dissolved organic matter (DOM) from different sources such as terrestrial and aquatic environments. In this study, a new piecewise algorithm, FTMSCalibrate, was developed to automatically calibrate FTICR-MS spectra in both positive and negative ion modes. FTMSCalibrate was found to reproduce 91.7% ± 4.4% (referred to as the true positive ratio) of the chemical formulas obtained by calibration using manual DataAnalysis. In addition to significantly reducing the mass error, FTMSCalibrate is more accurate in terms of the molecular formula assignment for low / peaks than Formularity and MFAssignR. FTMSCalibrate was compatible with deprotonated ions for FTICR-MS spectra in the negative ion mode as well as protonated and adduct ions, including Na- and K-adducts, for FTICR-MS spectra in the positive ion mode. These results suggest that FTMSCalibrate publicly available herein is a robust alternative for the internal calibration of FTICR-MS spectra during postdata processing and will facilitate DOM analysis by FTICR-MS.
为了获得具有高质量精度的谱图,傅里叶变换离子回旋共振质谱(FTICR-MS)的内部校准是必不可少的。这对于后续的数据处理至关重要,通常使用商业仪器软件 DataAnalysis 在基准校准模式下进行。然而,目前还没有方法学研究系统地解决来自陆地和水生环境等不同来源的溶解有机物(DOM)的 FTICR-MS 谱的自动内部校准问题。在本研究中,开发了一种新的分段算法 FTMSCalibrate,用于正负离子模式下的 FTICR-MS 谱的自动校准。FTMSCalibrate 被发现可以重现使用手动 DataAnalysis 进行校准所获得的化学式的 91.7%±4.4%(称为真实阳性比率)。除了显著降低质量误差外,FTMSCalibrate 在低/峰的分子公式赋值方面比 Formularity 和 MFAssignR 更准确。FTMSCalibrate 与负离子模式下的 FTICR-MS 谱的去质子化离子以及正离子模式下的质子化和加合物离子(包括 Na-和 K-加合物)兼容。这些结果表明,本文提供的 FTMSCalibrate 是 FTICR-MS 谱在后期数据处理过程中进行内部校准的一种强大替代方法,将促进 FTICR-MS 对 DOM 的分析。