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Pushing the analytical limits: new insights into complex mixtures using mass spectra segments of constant ultrahigh resolving power

机译:突破分析极限:使用恒定超高分辨能力的质谱片段对复杂混合物进行新的洞察

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摘要

A new strategy has been developed for characterization of the most challenging complex mixtures to date, using a combination of custom-designed experiments and a new data pre-processing algorithm. In contrast to traditional methods, the approach enables operation of Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) with constant ultrahigh resolution at hitherto inaccessible levels (approximately 3 million FWHM, independent of m/z). The approach, referred to as OCULAR, makes it possible to analyze samples that were previously too complex, even for high field FT-ICR MS instrumentation. Previous FT-ICR MS studies have typically spanned a broad mass range with decreasing resolving power (inversely proportional to m/z) or have used a single, very narrow m/z range to produce data of enhanced resolving power; both methods are of limited effectiveness for complex mixtures spanning a broad mass range, however. To illustrate the enhanced performance due to OCULAR, we show how a record number of unique molecular formulae (244 779 elemental compositions) can be assigned in a single, non-distillable petroleum fraction without the aid of chromatography or dissociation (MS/MS) experiments. The method is equally applicable to other areas of research, can be used with both high field and low field FT-ICR MS instruments to enhance their performance, and represents a step-change in the ability to analyze highly complex samples.
机译:通过结合定制设计的实验和新的数据预处理算法,已开发出一种用于表征迄今为止最具挑战性的复杂混合物的新策略。与传统方法相比,该方法使傅里叶变换离子回旋共振质谱(FT-ICR MS)能够以前所未有的恒定水平(约300万FWHM,与m / z无关)以恒定的超高分辨率运行。这种方法被称为OCULAR,即使对于高场FT-ICR MS仪器,也可以分析以前过于复杂的样品。以前的FT-ICR MS研究通常在较宽的质量范围内降低了分辨力(与m / z成反比),或仅使用一个非常窄的m / z范围来产生分辨力增强的数据。但是,这两种方法对于覆盖较宽质量范围的复杂混合物的效果均有限。为了说明由于OCULAR带来的增强性能,我们展示了如何在不借助色谱或解离(MS / MS)实验的情况下,在单个不可蒸馏的石油馏分中分配创纪录数量的独特分子式(244-779个元素组成) 。该方法同样适用于其他研究领域,可以与高场和低场FT-ICR MS仪器一起使用以增强其性能,并且代表了分析高度复杂样品的能力的一步变化。

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