首页> 外文会议>American Society for Mass Spectrometry Conference on Mass Spectrometry and Allied Topics >Utilization of GCXGC-TOFMS to Screen for Potential Metabolite Differences in Pooled Samples from Lean, Fat, and Obese Zucker Rat Plasma
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Utilization of GCXGC-TOFMS to Screen for Potential Metabolite Differences in Pooled Samples from Lean, Fat, and Obese Zucker Rat Plasma

机译:利用GCXGC-TOFMS从瘦,脂肪和肥胖Zucker大鼠等离子体筛选粘合样品的潜在代谢物差异筛选

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This study highlights the use of GCxGC-TOFMS analysis of pooled Zucker rat plasma samples from different states of health. The chromatographic and time-of-flight mass spectral comparisons between sample pools establishes this analytical approach as a valuable screening tool for discovery of metabolite variation across different classes. The analysis of derivatized complex blood plasma demonstrates the enhanced detection and increased peak capacity available with GCxGC-TOFMS using the LECO Pegasus 4D instrument. The GCxGC-TOFMS results for the lean, fat, and obese sample pools demonstrates how GCxGC separates and resolves components that would otherwise totally coelute and be buried under high concentration analytes in one-dimensional chromatography. TOFMS provides non-skewed mass spectral data and the fast acquisition necessary to facilitate deconvolution algorithms that yield high quality library searchable mass spectra. This proof of concept research shows a fast, efficient, and simple comparative analysis method for screening large sample pools to distinguish metabolite variations as potential biomarkers for healthy and disease state populations. GCxGC-TOFMS is a valuable time and resource savings instrumental option for the comparative analysis of pooled samples from varying states of health to quickly and efficiently determine significant metabolic differences.
机译:本研究突出了GCXGC-TOFMS分析汇集Zucker大鼠血浆样本的使用,来自不同的健康状态。样品池之间的色谱和飞行时间的质谱比较将该分析方法建立为有价值的筛选工具,用于发现不同类别的代谢物变异。衍生化复杂血浆的分析证明了使用LECO Pegasus 4D仪器的GCXGC-TOFM的增强的检测和增加的峰值容量。 GCXGC-TOFMS对瘦,脂肪和肥胖样品池的结果表明了GCXGC如何分离和解决否则将在一维色谱中的高浓度分析物中完全共面的组分。 TOFMS提供非偏斜的质谱数据和必要的快速采集,以便于产生高质量库可搜索的质谱的解压缩算法。这种概念研究证明表明了一种快速,高效,简单的对比分析方法,用于筛选大型样品池,以区分代谢物变异作为健康和疾病状态种群的潜在生物标志物。 GCXGC-TOFMS是一个有价值的时间和资源节省乐器选择,用于汇集样品从不同状态的汇集样品快速有效地确定显着的代谢差异。

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