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基于液相色谱-质谱联用的非靶向代谢组学在揭示荞麦蜂蜜中与抗氧化活性相关代谢物的应用

Application of Liquid Chromatography-Mass Spectrometry-Based Untargeted Metabolomics to Reveal Metabolites Related to Antioxidant Activity in Buckwheat Honey.

作者信息

Pogoda Emilia, Kuś Piotr Marek

机构信息

Department of Pharmacognosy and Herbal Medicines, Faculty of Pharmacy, Wroclaw Medical University, ul. Borowska 211a, 50-556 Wrocław, Poland.

出版信息

Molecules. 2025 May 17;30(10):2198. doi: 10.3390/molecules30102198.

DOI:10.3390/molecules30102198
PMID:40430370
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12114437/
Abstract

Buckwheat honey is known for its high antioxidant activity, yet the compounds responsible for this effect have not been fully identified. This study used LC-MS-based untargeted metabolomics to investigate the metabolite profile of buckwheat honey and its relationship with antioxidant activity and total phenolic content, assessed by DPPH, FRAP, and Folin-Ciocalteu assays. A key objective was also to optimize data preprocessing parameters to improve the accuracy and robustness of metabolomic analyses. Multivariate analyses (PCA, OPLS-DA) effectively differentiated honey samples with high and low antioxidant potential. A total of 43 features were associated with increased antioxidant activity and about 30 compounds, including organic acids, free amino acids, and Amadori compounds-early Maillard reaction products-were identified. The amounts of most of these compounds exhibited strong positive correlation (r > 0.8) with measured antioxidant potential. These findings suggest that, in addition to polyphenols, other compound classes such as melanoidin precursors known as transition metal chelators significantly contribute to the antioxidant properties of buckwheat honey. This approach provides valuable insight into the bioactive composition of honey and supports the identification of potential antioxidant markers.

摘要

荞麦蜜以其高抗氧化活性而闻名,但其产生这种作用的化合物尚未完全确定。本研究采用基于液相色谱-质谱联用的非靶向代谢组学方法,研究了荞麦蜜的代谢产物谱及其与抗氧化活性和总酚含量的关系,通过DPPH、FRAP和福林-西奥尔特法进行评估。一个关键目标是优化数据预处理参数,以提高代谢组学分析的准确性和稳健性。多变量分析(主成分分析、正交偏最小二乘法判别分析)有效地鉴别出了具有高、低抗氧化潜力的蜂蜜样品。共有43个特征与抗氧化活性的增加相关,并鉴定出约30种化合物,包括有机酸、游离氨基酸和美拉德反应早期产物阿马多里化合物。这些化合物中的大多数含量与测得的抗氧化潜力呈强正相关(r>0.8)。这些发现表明,除了多酚类物质外,其他化合物类别,如作为过渡金属螯合剂的类黑精前体,也对荞麦蜜的抗氧化特性有显著贡献。这种方法为蜂蜜的生物活性成分提供了有价值的见解,并有助于识别潜在的抗氧化标记物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/661b/12114437/dc8be34f289c/molecules-30-02198-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/661b/12114437/da16d1f30841/molecules-30-02198-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/661b/12114437/fa3e7b7a1f8f/molecules-30-02198-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/661b/12114437/4900737fc652/molecules-30-02198-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/661b/12114437/dc8be34f289c/molecules-30-02198-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/661b/12114437/da16d1f30841/molecules-30-02198-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/661b/12114437/fa3e7b7a1f8f/molecules-30-02198-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/661b/12114437/4900737fc652/molecules-30-02198-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/661b/12114437/dc8be34f289c/molecules-30-02198-g004.jpg

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