13c标记在有机合成、催化和生化中的应用

IF 6.1 Q1 CHEMISTRY, MULTIDISCIPLINARY
Dr. Konstantin S. Rodygin, Dr. Alexander S. Bogachenkov, Dr. Yulia V. Gyrdymova, Anton N. Potorochenko
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引用次数: 0

摘要

标记13C原子的掺入为有机合成和催化提供了大量的机会。利用标记碳原子的精确位置可以成功地确定复杂化合物的结构;反应机理可以通过反应产物中存在或不存在标签来支持;生物化合物的代谢途径可以通过标记产品来发现;分析的标记化合物的浓度可以显著降低,以记录和成功解释核磁共振光谱等。本文旨在为研究人员提供常用的和有前途的标记化合物的合成策略,以便研究人员选择合适的路线来节省宝贵的标记材料。基于起始标记源对所有标记方法进行了考虑。该评论的思想目的是展示标签合并的机会,以便研究人员可以使用标记化合物在他自己的主题中找到改进。标记化合物在催化和研究反应机理方面的应用也被认为是证明标记化合物在特定任务和应用中可能有用的能力。标记化合物在生物活性化合物代谢物分析中的潜力被选定的例子证明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

13C-Labeling as a Method in Organic Synthesis, Catalysis and Biochemical Applications

13C-Labeling as a Method in Organic Synthesis, Catalysis and Biochemical Applications

The incorporation of a labeled 13C atom provides a plethora of opportunities in organic synthesis and catalysis. Structure of complicated compounds can be successfully confirmed using the precise location of a labeled carbon atom; a reaction mechanism can be supported by the presence or absence of a label in reaction products; metabolic pathways of biological compounds can be found out depending on labeled products; the concentration of analyzed labeled compounds can be significantly lower for recording and successful interpretation of NMR spectra, etc. This review aims to provide a researcher with common and promising strategies for the synthesis of labeled compounds so that a researcher can select an appropriate route to save valuable labeled material. All the labeling approaches were considered based on starting labeling source. Ideological aim of the review is to demonstrate the opportunities for label incorporation so that a researcher can find the improvements in his own topic using labeled compounds. Utilization of labeled compounds in catalysis and studying reaction mechanisms were also considered to demonstrate the capabilities of labeled compounds, which may be useful in specific tasks and applications. The potential of labeled compounds in bioactive compound metabolite analysis was demonstrated on selected examples.

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CiteScore
7.30
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