Varghese Rency S, Poto Cristina Di, Tu Chao, Ranjbar Mohammad R Nezami, Luo Yue, Choi Jiwon, Tadesse Mahlet G, Ressom Habtom W
Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA.
Department of Mathematics and Statistics, Georgetown University, Washington, DC, USA.
Metabolomics (Los Angel). 2016;6(2). doi: 10.4172/2153-0769.1000175. Epub 2016 Jun 3.
Gas Chromatography coupled with Mass Spectrometry (GC-MS) has been broadly used for the detection of changes in metabolite levels in complex samples. Internal Standards (IS) spiked into a complex background at different concentrations help assess the capability of GC-MS in detecting changes in metabolite levels. This study uses a Latin square design to evaluate the ability of GC-MS in full scan and Single Ion Monitoring (SIM) modes to detect changes among IS spiked into human plasma samples at varying concentrations. Statistical analysis of the data demonstrates the potential of GC-MS to detect true differences over a wide range of concentration levels.
气相色谱-质谱联用（GC-MS）已广泛用于检测复杂样品中代谢物水平的变化。以不同浓度添加到复杂背景中的内标（IS）有助于评估GC-MS检测代谢物水平变化的能力。本研究采用拉丁方设计，以评估GC-MS在全扫描和单离子监测（SIM）模式下检测添加到不同浓度人血浆样品中的内标之间变化的能力。数据的统计分析表明，GC-MS在广泛的浓度水平上具有检测真实差异的潜力。
