Ramautar Rawi, Mayboroda Oleg A, Derks Rico J E, van Nieuwkoop Cees, van Dissel Jaap T, Somsen Govert W, Deelder André M, de Jong Gerhardus J
Department of Biomedical Analysis, Utrecht University, Utrecht, The Netherlands.
Electrophoresis. 2008 Jun;29(12):2714-22. doi: 10.1002/elps.200700929.
A capillary electrophoresis-time of flight-mass spectrometry (CE-TOF-MS) method for the analysis of amino acids in human urine was developed. Capillaries noncovalently coated with a bilayer of Polybrene (PB) and poly(vinyl sulfonate) (PVS) provided a considerable EOF at low pH, thus facilitating the fast separation of amino acids using a BGE of 1 M formic acid (pH 1.8). The PB-PVS coating proved to be very consistent yielding stable CE-MS patterns of amino acids in urine with favorable migration time repeatability (RSDs <2%). The relatively low sample loading capacity of CE was circumvented by an in-capillary preconcentration step based on pH-mediated stacking allowing 100-nL sample injection (i.e. ca. 4% of capillary volume). As a result, LODs for amino acids were down to 20 nM while achieving satisfactory separation efficiencies. Preliminary validation of the method with urine samples showed good linear responses for the amino acids (R(2) >0.99), and RSDs for peak areas were <10%. Special attention was paid to the influence of matrix effects on the quantification of amino acids. The magnitude of ion suppression by the matrix was similar for different urine samples. The CE-TOF-MS method was used for the analysis of urine samples of patients with urinary tract infection (UTI). Concentrations of a subset of amino acids were determined and compared with concentrations in urine of healthy controls. Furthermore, partial least squares-discriminant analysis (PLS-DA) of the CE-TOF-MS dataset in the 50-450 m/z region showed a distinctive grouping of the UTI samples and the control samples. Examination of score and loadings plot revealed a number of compounds, including phenylalanine, to be responsible for grouping of the samples. Thus, the CE-TOF-MS method shows good potential for the screening of body fluids based on the analysis of endogenous low-molecular weight metabolites such as amino acids and related compounds.
建立了一种用于分析人尿中氨基酸的毛细管电泳-飞行时间质谱(CE-TOF-MS)方法。用聚凝胺(PB)和聚乙烯磺酸盐(PVS)双层非共价涂层的毛细管在低pH值下提供了可观的电渗流(EOF),从而便于使用1 M甲酸(pH 1.8)的背景电解质(BGE)快速分离氨基酸。PB-PVS涂层被证明非常稳定,能产生尿液中氨基酸的稳定CE-MS图谱,迁移时间重复性良好(相对标准偏差<2%)。基于pH介导堆积的毛细管内预浓缩步骤克服了CE相对较低的进样量,允许进样100 nL(即约为毛细管体积的4%)。结果,氨基酸的检测限低至20 nM,同时实现了令人满意的分离效率。用尿液样本对该方法进行初步验证,结果表明氨基酸具有良好的线性响应(R²>0.99),峰面积的相对标准偏差<10%。特别关注了基质效应对氨基酸定量的影响。不同尿液样本中基质对离子的抑制程度相似。CE-TOF-MS方法用于分析尿路感染(UTI)患者的尿液样本。测定了一部分氨基酸的浓度,并与健康对照者尿液中的浓度进行比较。此外,在50-450 m/z区域对CE-TOF-MS数据集进行偏最小二乘判别分析(PLS-DA),结果显示UTI样本和对照样本有明显的分组。对得分图和载荷图的检查揭示了一些化合物,包括苯丙氨酸,是导致样本分组的原因。因此,基于对氨基酸和相关化合物等内源性低分子量代谢物的分析,CE-TOF-MS方法在体液筛查方面显示出良好潜力。