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代谢组学与生化分析相结合揭示了油菜籽的酚类成分和抗氧化特性。

Metabolomics combined with biochemical analyses revealed phenolic profiles and antioxidant properties of rapeseeds.

作者信息

Zhang Yao, Lv Xin, Wang Dan, Zheng Chang, Chen Hong, Yuan Yongjun, Wei Fang

机构信息

Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Oilseeds Processing of Ministry of Agriculture, Hubei Key Laboratory of Lipid Chemistry and Nutrition, Wuhan 430062, China; College of Food and Bioengineering, Xihua University, Chengdu 610039, China.

Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Key Laboratory of Oilseeds Processing of Ministry of Agriculture, Hubei Key Laboratory of Lipid Chemistry and Nutrition, Wuhan 430062, China.

出版信息

Food Chem. 2025 Feb 28;466:142250. doi: 10.1016/j.foodchem.2024.142250. Epub 2024 Nov 26.

Abstract

Phenolic compounds, one of the most crucial lipid concomitants in rapeseed, have garnered heighten attention due to their numerous health benefits. Therefore, efficiently characterizing the phenolic profile of rapeseed is paramount for discerning their potential bioactivities. This study employed untargeted metabolomics in conjunction with molecular networking to trace the phenolic composition across three rapeseed genotypes. A total of 117 phenolic compounds were identified in rapeseed by mass spectrometry under positive and negative ionization modes, including 36 flavonoids, 23 coumarins, 12 phenolic acids, 10 lignans, 4 stilbenes, 4 diarylheptanes, 1 tannin, and several other phenolic constituents. Biochemical analyses revealed that Brassica napus rapeseed typically exhibited the highest total phenolic content and total flavonoid content as well as the strongest antioxidant capacity among three rapeseed genotypes. Through correlation analysis, 17 potential antioxidant phenolic compounds were tentatively screened from rapeseed, supporting the development and utilization of natural antioxidants from rapeseed.

摘要

酚类化合物是油菜籽中最关键的脂质伴随物之一,因其对健康有诸多益处而备受关注。因此,有效地表征油菜籽的酚类特征对于识别其潜在生物活性至关重要。本研究采用非靶向代谢组学结合分子网络技术来追踪三种油菜籽基因型中的酚类成分。在正离子和负离子模式下,通过质谱法在油菜籽中总共鉴定出117种酚类化合物,包括36种黄酮类化合物、23种香豆素、12种酚酸、10种木脂素、4种芪类化合物、4种二芳基庚烷、1种单宁以及其他几种酚类成分。生化分析表明,在三种油菜籽基因型中,甘蓝型油菜籽通常表现出最高的总酚含量、总黄酮含量以及最强的抗氧化能力。通过相关性分析,从油菜籽中初步筛选出17种潜在的抗氧化酚类化合物,为油菜籽天然抗氧化剂的开发利用提供了支持。

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