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首页> 外文期刊>Journal of Pharmaceutical and Biomedical Analysis: An International Journal on All Drug-Related Topics in Pharmaceutical, Biomedical and Clinical Analysis >Hyphenation of capillary high-performance liquid chromatography to microcoil magnetic resonance spectroscopy--determination of various carotenoids in a small-sized spinach sample.
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Hyphenation of capillary high-performance liquid chromatography to microcoil magnetic resonance spectroscopy--determination of various carotenoids in a small-sized spinach sample.

机译:毛细管高效液相色谱法与微线圈磁共振波谱的联用-测定小型菠菜样品中的各种类胡萝卜素

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摘要

The development of miniaturized hyphenated systems such as capillary high-performance liquid chromatography--and nuclear magnetic resonance spectroscopy (HPLC-NMR) remains challenging in the field of structure elucidation. In combination with a highly specific sample preparation technique, matrix solid-phase dispersion (MSPD), and a highly selective C30 reverse phase HPLC-NMR enables the identification of small amounts of natural compounds. Here, the investigation of five carotenoids in a standard solution and two carotenoids from a spinach sample demonstrate the potential of this new development. The separation of the carotenoids is performed with self-packed fused-silica capillaries with a binary solvent gradient consisting of acetone and water. The miniaturized system allows the use of fully deuterated solvents for on-line HPLC-NMR coupling. The 1H NMR spectra of the various carotenoids obtained in stopped-flow mode gave a high signal-to-noise ratio with a sample amount in the low nanogram range. All necessary parameters for structure elucidation such as multiplet structure, coupling constants and integration values can be detected unambiguously.
机译:在结构阐明领域,诸如毛细管高效液相色谱法和核磁共振波谱法(HPLC-NMR)之类的小型联用系统的开发仍然具有挑战性。与高特异性样品制备技术,基质固相分散体(MSPD)和高选择性C30反相HPLC-NMR相结合,可以鉴定少量天然化合物。在这里,对标准溶液中的五个类胡萝卜素和菠菜样品中的两个类胡萝卜素的研究证明了这一新技术的潜力。类胡萝卜素的分离是使用自填充的熔融石英毛细管进行的,毛细管具有由丙酮和水组成的二元溶剂梯度。小型化的系统允许使用完全氘化的溶剂进行在线HPLC-NMR偶联。在停流模式下获得的各种类胡萝卜素的1H NMR谱图显示出高的信噪比和低纳克范围的样品量。可以明确检测所有用于阐明结构的必要参数,例如多重结构,耦合常数和积分值。

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