Abstract Rich information possesses within the transient image current signal collected from a Fourier transform (FT) mass spectrometer. The central frequency corresponds to the mass to charge ratio of an ion, the amplitude decay profile corresponds to its collision cross sections (CCS). Conventionally, fast Fourier transform (FFT) was applied to transfer the time-domain transient data to frequency-domain. There are demanding needs to develop efficient data processing methods to improve the mass accuracy and resolution of the constructed mass spectrum, while shortening the length of the transient data for high-throughput analysis. In this work, a Hilbert transform based time domain method was developed, so that time-frequency analysis of ion transient data could be performed. This method could accurately extract the instantaneous ion motional frequency and amplitude, which could potentially improve the mass accuracy and mass resolution of a FT-based mass spectrometer. Furthermore, ion CCSs could also be acquired from the ion motion decay profiles.

中文翻译：

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基于希尔伯特变换的时域方法对傅里叶变换质谱数据进行时频分析

摘要 傅立叶变换 (FT) 质谱仪采集的瞬态镜像电流信号中包含丰富的信息。中心频率对应于离子的质荷比，振幅衰减曲线对应于其碰撞截面 (CCS)。传统上，应用快速傅立叶变换 (FFT) 将时域瞬态数据传输到频域。迫切需要开发有效的数据处理方法，以提高构建质谱的质量精度和分辨率，同时缩短用于高通量分析的瞬态数据的长度。在这项工作中，开发了一种基于希尔伯特变换的时域方法，以便可以对离子瞬态数据进行时频分析。该方法可以准确地提取瞬时离子运动频率和振幅，这可能会提高基于 FT 的质谱仪的质量精度和质量分辨率。此外，还可以从离子运动衰减剖面中获取离子 CCS。