Use of Fisher's Ratio assisted multivariate curve resolution- alternating least squares for discovery-based analysis using ultrahigh pressure liquid chromatography-high resolution mass spectrometry
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引用次数: 0
Abstract
Non-targeted analysis of complex chemical mixtures can be difficult considering the convoluted nature of the matrix and the potential unknown chemical differences between samples or classes of samples. Ultrahigh pressure liquid chromatography coupled to quadrupole time-of-flight mass spectrometry (UHPLC-QTOF) is an ideal technique to probe chemical differences for a wide variety of samples. While UHPLC-QTOF can discover minute chemical differences down to low part per billion (ppb) concentrations with a high degree of confidence, the application of high-resolution mass spectrometry can yield massive amounts of information (∼ 10 gb per sample) that cannot be analyzed manually. Therefore, the application of chemometric techniques is mandatory for the interrogation of complex samples. Fisher's ratio (FR) assisted multivariate curve resolution-alternating least squares (MCR-ALS) was used to the discover and identify the chemical differences between two classes of materials: 1) a pond water matrix and 2) the matrix spiked with a pharmaceutical standard mix containing 17 compounds. Thirteen of the seventeen spiked compounds were discovered using FR analysis, and then five were successfully deconvoluted using MCR-ALS wherein the number of curves chosen were automatically determined using singular value decomposition (SVD). The use of an automated FR assisted MCR-ALS will aid in discovering trace levels of chemical components without the need for the researcher to provide potentially biased input which will aid in non-targeted workflow.
考虑到矩阵的复杂性质和样品或样品类别之间潜在的未知化学差异,复杂化学混合物的非靶向分析可能很困难。超高压液相色谱耦合四极杆飞行时间质谱(UHPLC-QTOF)是探测各种样品化学差异的理想技术。虽然UHPLC-QTOF可以以高度置信度发现低至十亿分之一(ppb)浓度的微小化学差异,但高分辨率质谱的应用可以产生大量无法手动分析的信息(每个样品约10 gb)。因此,化学计量技术的应用对复杂样品的分析是必要的。Fisher’s ratio (FR)辅助多元曲线分辨率-交替最小二乘法(MCR-ALS)用于发现和识别两类材料之间的化学差异:1)池塘水基质和2)含有17种化合物的药物标准混合物的基质。使用FR分析发现了17个加标化合物中的13个,然后使用MCR-ALS成功地进行了反卷积,其中选择的曲线数量使用奇异值分解(SVD)自动确定。使用自动FR辅助MCR-ALS将有助于发现痕量化学成分,而不需要研究人员提供可能有偏差的输入,这将有助于非目标工作流程。
期刊介绍:
The Journal of Chromatography A provides a forum for the publication of original research and critical reviews on all aspects of fundamental and applied separation science. The scope of the journal includes chromatography and related techniques, electromigration techniques (e.g. electrophoresis, electrochromatography), hyphenated and other multi-dimensional techniques, sample preparation, and detection methods such as mass spectrometry. Contributions consist mainly of research papers dealing with the theory of separation methods, instrumental developments and analytical and preparative applications of general interest.