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首页> 外文期刊>Data in Brief >Data comparing the separation and elution of vitamin D metabolites on an ultra performance supercritical fluid chromatography tandem-mass spectrometer (UPSFC-MS/MS) compared to liquid chromatography (LC) and data presenting approaches to UPSFC method optimization
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Data comparing the separation and elution of vitamin D metabolites on an ultra performance supercritical fluid chromatography tandem-mass spectrometer (UPSFC-MS/MS) compared to liquid chromatography (LC) and data presenting approaches to UPSFC method optimization

机译:与超高效液相色谱串联质谱仪(UPSFC-MS / MS)相比,液相色谱(LC)比较维生素D代谢物的分离和洗脱的数据,并提供了UPSFC方法优化方法的数据

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摘要

The data presented is related to the research article “Analysis of multiple vitamin D metabolites by ultra performance supercritical fluid chromatography-tandem mass spectrometry (UPSFC-MS/MS)” (Jenkinson et al., 2018) . This article will include data obtained from method development, optimization and analysis of multiple vitamin D metabolites on an ultra performance supercritical fluid chromatography tandem-mass spectrometry (UPSFC-MS/MS). This includes chromatograms from column screening to confirm the most suitable column for analyte separation. Additionally, further chromatograms and figures compare separation and analyte signal strength during the optimization of other UPSFC parameters. Mass spectra will demonstrate the optimization of MS conditions for the UPSFC-MS/MS method. Chromatogram data from UHPLC vitamin D analysis is also presented in order to compare the separation and elution of vitamin D metabolites using UPSFC and UHPLC. This data will highlight the outputs that aid in method development and identifying the separation technique suited for vitamin D quantitation.
机译:所提供的数据与研究文章“通过超高效超临界流体色谱-串联质谱分析(UPSFC-MS / MS)分析多种维生素D代谢产物”(Jenkinson等人,2018)有关。本文将包括在超性能超临界流体色谱串联质谱(UPSFC-MS / MS)上开发,优化和分析多种维生素D代谢物的数据。这包括色谱柱筛选得到的色谱图,以确认最适合分析物分离的色谱柱。此外,在优化其他UPSFC参数期间,进一步的色谱图和图表比较了分离度和分析物信号强度。质谱将证明针对UPSFC-MS / MS方法的MS条件的优化。还提供了UHPLC维生素D分析的色谱数据,以便比较使用UPSFC和UHPLC分离和洗脱维生素D代谢物。这些数据将重点介绍有助于方法开发和识别适合维生素D定量的分离技术的输出。

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