Department of Molecular Physics, Fritz Haber Institute of the Max Planck Society, Faradayweg 4-6, 14195, Berlin, Germany.
Department of Chemistry and Biochemistry, Freie Universität Berlin, Altensteinstr. 23A, 14195, Berlin, Germany.
Anal Bioanal Chem. 2022 Jul;414(17):5023-5031. doi: 10.1007/s00216-022-04133-0. Epub 2022 May 26.
LC-MS is one of the most important tools for the comprehensive characterization of N-glycans. Despite many efforts to speed up glycan analysis via optimized sample preparation (e.g., faster enzyme digestion in combination with instant or rapid labeling dyes), a major bottleneck remains the rather long measurement times of HILIC chromatography. Further complication arises from the necessity to concomitantly calibrate with an external standard to allow for accurate retention times and the conversion into more robust GU values. Here we demonstrate the use of an internal calibration strategy for HILIC chromatography to speed up glycan analysis. By reducing the number of utilized dextran oligosaccharides, the calibrant can be spiked directly into the sample such that external calibration runs are no longer required. The minimized dextran ladder shows accurate GU calibration with a minor deviation of well below 1% and can be applied without modifications in sample preparation or data processing. We further demonstrate the simultaneous use of the minimized dextran ladder as calibrant for the estimation of CCS values in traveling wave ion mobility spectrometry. In both cases, the minimized dextran ladder enables the measurement of calibrant and sample in a single HPLC run without losing information or accuracy.
LC-MS 是全面表征 N-聚糖的最重要工具之一。尽管通过优化样品制备(例如,更快的酶消化与即时或快速标记染料相结合)来加速聚糖分析已经做出了许多努力,但一个主要的瓶颈仍然是 HILIC 色谱法相当长的测量时间。进一步的复杂性来自于必须同时用外部标准进行校准,以允许准确的保留时间并转换为更稳健的 GU 值。在这里,我们展示了使用 HILIC 色谱法的内部校准策略来加速聚糖分析。通过减少所用葡聚糖低聚糖的数量,可以将校准剂直接添加到样品中,从而不再需要进行外部校准运行。最小化的葡聚糖梯度过渡曲线具有准确的 GU 校准,偏差很小,低于 1%,并且可以在不修改样品制备或数据处理的情况下应用。我们进一步展示了最小化的葡聚糖梯度过渡曲线作为校准剂在行进波离子淌度谱中的同时使用,用于估计 CCS 值。在这两种情况下,最小化的葡聚糖梯度过渡曲线都可以在单个 HPLC 运行中测量校准剂和样品,而不会丢失信息或准确性。