Ptolemy Adam S, Britz-McKibbin Philip
Department of Chemistry, McMaster University, Hamilton, ON, L8S 4M1, Canada.
Analyst. 2005 Sep;130(9):1263-70. doi: 10.1039/b504480d. Epub 2005 Jul 20.
New strategies for rapid, sensitive and high-throughput analysis of low abundance metabolites in biological samples are required for future metabolomic research. In this report, a direct method for sub-micromolar analyses of phosphoamino acids was developed using on-line sample preconcentration with 9-fluorenylmethyloxycarbonyl chloride (FMOC) derivatization by capillary electrophoresis (CE) and UV detection. Analyte focusing by dynamic pH junction and FMOC labeling efficiency were influenced by several experimental factors including buffer pH, ionic strength, sample injection length and FMOC concentration. About a 200-fold enhancement in concentration sensitivity was achieved under optimal conditions relative to conventional off-line derivatization, as reflected by a detection limit (S/N approximately 3) of 0.1 microM. In-capillary sample preconcentration with chemical labeling by CE offers a unique single-step analytical platform for high-throughput screening of low abundance metabolites without intrinsic chromophores.
未来的代谢组学研究需要能够对生物样品中的低丰度代谢物进行快速、灵敏和高通量分析的新策略。在本报告中,开发了一种直接方法,用于通过毛细管电泳(CE)和紫外检测,利用9-芴甲氧羰基氯(FMOC)衍生化进行在线样品预浓缩,对磷酸氨基酸进行亚微摩尔分析。动态pH连接聚焦分析物和FMOC标记效率受多种实验因素影响,包括缓冲液pH值、离子强度、样品进样长度和FMOC浓度。在最佳条件下,相对于传统离线衍生化,浓度灵敏度提高了约200倍,检测限(S/N约为3)为0.1 microM。通过CE进行化学标记的毛细管内样品预浓缩为无固有发色团的低丰度代谢物的高通量筛选提供了一个独特的单步分析平台。