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基于手性衍生化和囚禁离子淌度-质谱联用的氨基酸手性分析自动化

Automated Chiral Analysis of Amino Acids Based on Chiral Derivatization and Trapped Ion Mobility-Mass Spectrometry.

机构信息

Institute of Inorganic and Analytical Chemistry, University of Muenster, Corrensstr. 28/30, 48149 Muenster, Germany.

Elemental Scientific Inc., 7277 World Communications Dr., Omaha, Nebraska 68022, United States.

出版信息

Anal Chem. 2021 Jan 19;93(2):878-885. doi: 10.1021/acs.analchem.0c03481. Epub 2020 Dec 18.

Abstract

A fast and fully automated method for chiral analysis has been developed by combining a chiral derivatization approach with high-resolution trapped ion mobility separation. Although the presented approach can be potentially applied to diverse types of chiral compounds, several benchmark amino acids were used as model compounds, focusing on the smallest amino acid alanine. An autosampler with an integrated chromatography system was used for inline chiral derivatization with ()-naproxen chloride and subsequent preseparation. Afterwards, derivatized amino acids were directly introduced into the electrospray interface of a trapped ion mobility-mass spectrometer for rapid diastereomer separation in the gas phase. This unique combination of preseparation and trapped ion mobility spectrometry separation in the negative ion mode enabled rapid chiral analysis within 3 min per sample. Furthermore, the diastereomer separation proved to be independent of alkali salts or other metal ions, offering robustness with regard to samples containing high amounts of salts. Highly sensitive detection of amino acid diastereomers was possible down to the lower nanomolar concentration range, and enantiomeric ratios could be readily determined from the recorded mobilograms with excellent reproducibility and precision. To demonstrate the general applicability of our method, alanine and other amino acids were analyzed from soy sauces and seasonings, which revealed extraordinarily high d-Ala contents of up to 99% in all samples.

摘要

已开发出一种快速且全自动的手性分析方法,该方法将手性衍生化方法与高分辨离子淌度分离相结合。虽然所提出的方法可潜在地应用于多种类型的手性化合物,但仍选择几种基准氨基酸作为模型化合物,重点研究最小的氨基酸丙氨酸。采用带集成色谱系统的自动进样器进行()-萘普生氯的在线手性衍生化和预分离。随后,将衍生化的氨基酸直接引入到阱离子淌度-质谱仪的电喷雾接口中,在气相中快速进行非对映异构体分离。这种预分离与负离子模式下的阱离子淌度谱分离的独特结合,使得每个样品的快速手性分析在 3 分钟内完成。此外,该非对映异构体分离被证明与碱盐或其他金属离子无关,对于含有大量盐的样品具有稳健性。可以在低至纳摩尔浓度范围的下实现对氨基酸非对映异构体的高灵敏度检测,并且可以从记录的淌度图中轻松确定对映体比率,具有极好的重现性和精度。为了证明我们的方法的通用性,从酱油和调味料中分析了丙氨酸和其他氨基酸,结果表明所有样品中的 d-Ala 含量高达 99%。

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