Handlovic Troy T, Dhaubhadel Umang, Horáček Ondřej, Novák Martin, Nováková Lucie, Armstrong Daniel W
Department of Chemistry and Biochemistry, University of Texas at Arlington, Arlington, Texas 76019, United States.
Department of Pharmaceutical Chemistry and Pharmaceutical Analysis, Faculty of Pharmacy in Hradec Králové, Charles University, Hradec Králové 50003, Czech Republic.
ACS Meas Sci Au. 2025 Apr 8;5(3):332-344. doi: 10.1021/acsmeasuresciau.5c00015. eCollection 2025 Jun 18.
Mass spectrometry (MS) has changed our understanding of health, disease, and the environment through untargeted analyses where entire molecular classes are investigated. These techniques generate huge amounts of data which when processed by statistical tools can identify important molecular features or biomarkers. The complexities of these samples are not compatible with direct introduction to the MS system and require a high-resolution separation step, typically low flow liquid chromatography (LC), prior to MS. LC columns that can produce adequate linear velocities at these low flow rates are small in volume making their results susceptible to resolution loss in extra-column volumes. Here, we investigate the implications of the extra-column effects in five LC-MS systems with triple quadrupole and orbitrap mass analyzers. The extra-column volume of these systems in their standard configuration ranged from 26.4 to 78.1 μL which we reduced to 9.57 to 18.7 μL by optimizing the fluidics. The effects of this volume reduction were assessed by studying a hydrolyzed protein sample in a proteomics environment where the intensity of the largest MS peak was improved by 1.8-3.8×. Additionally, the number of molecular features detected in the protein sample improved by up to 7.5×. The relationship between extra-column volumetric variance and flow rate shows that broadening will become much larger for MS detectors at higher flow rates, unlike a traditional small volume UV detector. The methods, applications, and theoretical insights in this work can be used to improve the mass spectrometric results of any LC-MS system.
质谱分析(MS)通过非靶向分析改变了我们对健康、疾病和环境的理解,在非靶向分析中会对整个分子类别进行研究。这些技术会生成大量数据,经统计工具处理后,这些数据能够识别重要的分子特征或生物标志物。这些样品的复杂性与直接引入质谱系统不兼容,在进行质谱分析之前需要进行高分辨率分离步骤,通常是低流速液相色谱(LC)。能够在这些低流速下产生足够线性速度的液相色谱柱体积较小,这使得其结果容易受到柱外体积分辨率损失的影响。在此,我们研究了柱外效应在五个配备三重四极杆和轨道阱质谱仪的液相色谱 - 质谱系统中的影响。这些系统在标准配置下的柱外体积范围为26.4至78.1 μL,通过优化流体ics,我们将其减小至9.57至18.7 μL。通过在蛋白质组学环境中研究水解蛋白质样品来评估这种体积减小的效果,其中最大质谱峰的强度提高了1.8 - 3.8倍。此外,蛋白质样品中检测到的分子特征数量最多增加了7.5倍。柱外体积方差与流速之间的关系表明,与传统的小体积紫外检测器不同,对于质谱检测器而言,在较高流速下展宽会变得大得多。这项工作中的方法、应用和理论见解可用于改善任何液相色谱 - 质谱系统的质谱分析结果。