Suppr超能文献

使用多孔石墨化碳固定相结合电喷雾质谱法对核苷及其单磷酸、二磷酸和三磷酸进行液相色谱分析。

Liquid chromatographic analysis of nucleosides and their mono-, di- and triphosphates using porous graphitic carbon stationary phase coupled with electrospray mass spectrometry.

作者信息

Xing Jinsong, Apedo Atsu, Tymiak Adrienne, Zhao Ning

机构信息

Pharmaceutical Candidate Optimization, Bristol-Myers Squibb Pharmaceutical Research Institute, Princeton, NJ 08543, USA.

出版信息

Rapid Commun Mass Spectrom. 2004;18(14):1599-606. doi: 10.1002/rcm.1524.

Abstract

Analysis of nucleosides and nucleotides is desirable in many biological studies, but the task is analytically challenging due to the high polarity of the analytes. In this study, resolution of mixtures containing nucleosides and their mono-, di- and triphosphates was achieved using a porous graphitic carbon (PGC) stationary phase, Hypercarb, under conditions suitable for liquid chromatography/mass spectrometry (LC/MS). Different organic mobile phases and modifiers were evaluated and the separation of 16 nucleosides and nucleotides was optimized using gradient elution with a water/acetonitrile mobile phase containing ammonium acetate and diethylamine as modifiers. The ammonium acetate concentration proved to be critical for retention and diethylamine was found to improve the peak shapes of di- and triphosphates for mass spectrometric detection. A variety of silica-based columns designed for polar compound separation were also tested using optimized LC conditions and compared with results obtained with the Hypercarb column. Only the Hypercarb column provided separations suitable for accurate quantitation of mixed nucleosides and their phosphates.

摘要

在许多生物学研究中,对核苷和核苷酸进行分析是很有必要的,但由于分析物的高极性,这项任务在分析上具有挑战性。在本研究中,使用多孔石墨化碳(PGC)固定相Hypercarb,在适合液相色谱/质谱联用(LC/MS)的条件下,实现了含有核苷及其单磷酸、二磷酸和三磷酸混合物的分离。对不同的有机流动相和改性剂进行了评估,并使用含有醋酸铵和二乙胺作为改性剂的水/乙腈流动相进行梯度洗脱,优化了16种核苷和核苷酸的分离。结果表明,醋酸铵浓度对保留至关重要,发现二乙胺可改善二磷酸和三磷酸的峰形,以用于质谱检测。还使用优化的LC条件测试了多种为分离极性化合物而设计的硅胶基柱,并与使用Hypercarb柱获得的结果进行了比较。只有Hypercarb柱提供了适合准确定量混合核苷及其磷酸盐的分离效果。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验