Department of Chemistry, National University of Singapore, 3 Science Drive 3, Singapore 117543, Singapore.
Department of Chemistry, National University of Singapore, 3 Science Drive 3, Singapore 117543, Singapore; NUS Environmental Research Institute (NERI), #02-01, T-Lab Building (TL), 5A Engineering Drive 1, Singapore 117411, Singapore.
Food Chem. 2020 Dec 1;332:127424. doi: 10.1016/j.foodchem.2020.127424. Epub 2020 Jun 27.
Celery (Apium graveolens L. var dulce) is a widely cultivated vegetable which is popularly consumed due to its nutrient content and contains bioactive metabolites with positive effects on human physiology. In this study, H NMR spectroscopy coupled with multivariate statistical analyses was used to distinguish celery stem and leaf samples from different geographical origins. Principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were employed to investigate the differences between celery extracts from three geographical origins: Australia, Taiwan and China. Sugars, amino acids and organic acids were found to contribute significantly to the differentiation between origins, with mannitol identified as an important discriminating metabolite. It was demonstrated that NMR-based metabolomics is an effective approach for establishing reliable metabolomic fingerprints and profiles, enabling the identification of metabolite biomarkers for the possible discrimination of geographical origin.
芹菜(Apium graveolens L. var dulce)是一种广泛种植的蔬菜,由于其营养成分丰富,并且含有对人体生理有积极影响的生物活性代谢物,因此深受人们喜爱。在这项研究中,采用核磁共振波谱结合多元统计分析方法来区分来自不同地理来源的芹菜茎和叶样本。主成分分析(PCA)和偏最小二乘判别分析(PLS-DA)用于研究来自澳大利亚、中国台湾和中国三个地理来源的芹菜提取物之间的差异。结果表明,糖、氨基酸和有机酸对起源的差异有重要贡献,甘露醇被确定为重要的区分代谢物。研究表明,基于 NMR 的代谢组学是建立可靠代谢组学指纹图谱的有效方法,可用于识别代谢物生物标志物,以可能区分地理来源。