Department of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States.
Thermo Fisher Scientific, 355 River Oaks Parkway, San Jose, California 95134, United States.
Anal Chem. 2023 Aug 15;95(32):11854-11858. doi: 10.1021/acs.analchem.3c00903. Epub 2023 Aug 1.
Data-independent acquisition (DIA) mass spectrometry has grown in popularity in recent years, because of the reproducibility and quantitative rigor of a systematic tandem mass spectrometry (MS/MS) sampling method. However, traditional DIA methods may spend valuable instrument time acquiring MS/MS spectra with no usable information in them, affecting sensitivity and quantitative performance. We developed a DIA strategy that dynamically adjusts the MS/MS windows during the chromatographic separation. The method focuses MS/MS acquisition on the most relevant mass range at each point in time─increasing the quantitative sensitivity by increasing the time spent on each DIA window. We demonstrate an improved lower limit of quantification, on average, without sacrificing the number of peptides detected.
近年来，数据非依赖性采集（DIA）质谱技术因其系统串联质谱（MS/MS）采样方法的重现性和定量严谨性而受到欢迎。然而，传统的 DIA 方法可能会花费宝贵的仪器时间来获取没有有用信息的 MS/MS 光谱，从而影响灵敏度和定量性能。我们开发了一种在色谱分离过程中动态调整 MS/MS 窗口的 DIA 策略。该方法将 MS/MS 采集集中在每个时间点最相关的质量范围内，通过增加每个 DIA 窗口的时间来提高定量灵敏度。我们证明了平均而言，在不牺牲检测到的肽数量的情况下，提高了定量下限。
