Kim Hye Kyong, Choi Young Hae
Natural Products Lab, Institute of Biology, Leiden University, Leiden, The Netherlands.
Fytagoras BV, Leiden, The Netherlands.
Methods Mol Biol. 2025;2895:245-257. doi: 10.1007/978-1-0716-4350-1_16.
Identifying metabolites in NMR-based plant metabolomics is challenging due to the complexity of plant metabolites. This complexity stems from the abundance and diverse chemical properties of compounds, which vary in concentration across plant specimens. Additionally, the lack of automated identification software complicates the analysis process. Primary metabolites such as amino acids and sugars are widespread in plants, yet their identification is not straightforward due to various stereoisomeric forms and dynamic equilibria. Our protocol offers a manual approach to identify these metabolites, particularly focusing on amino acids and sugars. Through step-by-step guidance, we aim to empower researchers to navigate plant metabolomics complexities effectively.
由于植物代谢物的复杂性，在基于核磁共振的植物代谢组学中鉴定代谢物具有挑战性。这种复杂性源于化合物的丰富性和多样的化学性质，其在不同植物样本中的浓度各不相同。此外，缺乏自动化鉴定软件使分析过程变得复杂。氨基酸和糖类等初级代谢物在植物中广泛存在，但由于各种立体异构形式和动态平衡，它们的鉴定并非易事。我们的方案提供了一种手动方法来鉴定这些代谢物，特别关注氨基酸和糖类。通过逐步指导，我们旨在使研究人员能够有效地应对植物代谢组学的复杂性。
