天然产物研究与开发 ›› 2026, Vol. 38 ›› Issue (5): 1142-1146.

所属专题： No.9

• 资讯 · 动态 • 上一篇    下一篇

不同花色牡丹花瓣活性成分数据集

莫  倩1,4，佟宁宁4，任政源5，裴新辉6，齐秀双5，陈亚楠7，彭丽平4*，吕长平2, 3*   

  1. 1湖南农业大学园艺学院；2湖南农业大学风景园林与艺术设计学院；3湖南农业大学湖南省中亚热带优质花木繁育与利用工程技术研究中心，长沙 410128；4中国科学院植物研究所，国家植物园，北京 100093；5天香源（辽宁）生物科技有限责任公司，葫芦岛 125300；6辽宁省农科院蔬菜花卉所，沈阳 110000；7国有阜新蒙古族自治县王府林场，阜新 123135
  • 出版日期:2026-05-27 发布日期:2026-05-26
  • 基金资助:
    国家自然科学基金（32201609）；辽宁省科技厅“揭榜挂帅”（科技攻关专项）项目子课题（E2099C6001）

Dataset of bioactive components in peony petals of different flower colors

MO Qian1,4,TONG Ning-ning4,REN Zheng-yuan5,PEI Xin-hui6,QI Xiu-shuang5,#br# CHEN Ya-nan7,PENG Li-ping4,LYU Chang-ping2,3*#br#   

  1. 1College of Horticulture,Hunan Agricultural University;2College of Landscape Architecture and Art Design,Hunan Agricultural University;3Hunan Provincial Engineering Research Centre for Breeding and Utilisation of Subtropical High-Quality Ornamental Plants,Hunan Agricultural University,Changsha 410128,China;4Institute of Botany,Chinese Academy of Sciences,National Botanical Garden,Beijing 100093,China;5Tianxiangyuan (Liaoning) Biotechnology Company,Limited,Huludao 125300,China;6Vegetable and Flower Research Institute,Liaoning Academy of Agricultural Sciences,Shenyang 110000,China;7State-owned Wangfu Forest Farm,Fuxin Mongolian Autonomous County,Fuxin 123135,China
  • Online:2026-05-27 Published:2026-05-26

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摘要： 牡丹是我国传统花卉植物，其花瓣营养物质种类丰富，功能性成分含量高，是一种极具应用价值的新食品资源。为了探究牡丹花瓣的特征和潜在的价值，采用超高效液相色谱-串联质谱技术结合非靶代谢组学方法，对3个不同花色牡丹品种（白色‘凤丹’、黄色‘海黄’和粉色‘日向’）的花瓣活性成分进行鉴定建立了3个不同花色牡丹花瓣的活性成分数据集，在正负离子模式下共鉴定注释到共16类1 256个代谢物。利用单维分析t检验和多维分析筛选各组间的黄酮类、萜类和生物碱显著差异代谢物，本数据集可为分析及评价3种不同花色牡丹品种花瓣活性成分提供数据支持。

关键词: 牡丹, 非靶向代谢组学, 黄酮类, 萜类, 生物碱

Abstract:

Peony is a traditional floral plant in China, whose petals are rich in diverse nutrients and contain high levels of functional components, making it a novel food resource of significant application value. To investigate the characteristics and potential value of peony petals, Ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) combined with non-targeted metabolomics was employed to identify the active components in the petals of three peony varieties with distinct flower colours (white Paeonia sufruticosa 'Feng Dan', yellow Paeonia lemoinei 'High Noon', and pink Paeonia sufruticosa 'Ri Xiang').A total of 1,256 metabolites across 16 classes were annotated under both positive and negative ion modes. Significant differences in flavonoids, terpenoids, and alkaloids between groups were identified using univariate t-tests and multivariate analyses. This dataset provides data support for analysing and evaluating the bioactive components in petals of these three peony varieties.

Key words: peony, non-targeted metabolomics, flavonoids, terpenoids, alkaloids

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