Department of Chemistry, Aristotle University Thessaloniki, 541 24 Thessaloniki, Greece.
Anal Chem. 2010 Oct 1;82(19):8226-34. doi: 10.1021/ac1016612.
By coupling a single UPLC separation to two different types of mass spectrometer an unbiased comparison of the metabolite profiles produced by each instrument for a set of rat urine samples was obtained. The flow from the UPLC column was split equally and both streams of eluent were simultaneously directed to the inlets of the two mass spectrometers. Mass spectrometry on the eluent was undertaken using a triple quadrupole linear ion trap and a hybrid quadrupole time-of-flight mass spectrometer using both positive and negative ESI. Data from both mass spectrometers were subjected to multivariate statistical analysis, after applying the same data extraction software, and showed the same general pattern of correlation between the samples using both unsupervised and supervised methods of statistical analysis. Based on orthogonal partial least-squares discriminant analysis models a number of ions were recognized as "responsible" for the separation of the animal groups. From the peaks detected, and denoted as significant by the statistical analysis a number of ions were found to be unique to one data set or the other, a result which may have consequences for biomarker discovery and interlaboratory comparisons. The software package used for data analysis also had an effect on the outcome of the statistical analysis.
通过将单次超高效液相色谱分离与两种不同类型的质谱仪相结合,对一组大鼠尿液样本,由每种仪器产生的代谢物图谱进行了无偏比较。来自 UPLC 柱的流动被等分,并将两种洗脱液流同时引导至两台质谱仪的入口。使用三重四极杆线性离子阱和混合四极杆飞行时间质谱仪,采用正、负离子电喷雾,对洗脱液进行质谱分析。对两台质谱仪的数据应用相同的数据提取软件后,采用无监督和有监督的统计分析方法,显示出样品之间的相同一般相关性模式。基于正交偏最小二乘判别分析模型,识别出一些离子是动物组分离的“原因”。在所检测到的峰中,有一些离子被统计分析标记为显著,这些离子在一个数据集或另一个数据集中是独特的,这一结果可能对生物标志物发现和实验室间比较有影响。数据分析使用的软件包也对统计分析的结果有影响。