食品科学 ›› 2026, Vol. 47 ›› Issue (2): 58-65.doi: 10.7506/spkx1002-6630-20250729-228

• 基础研究 • 上一篇    下一篇

基于嗅觉受体互作和分子对接探究佛手增香作用机制

侯梦,曹凡,秦宇,周建成,廖惠云,李乃旭   

  1. (1.东南大学化学化工学院,江苏 南京 211189;2.江苏中烟工业有限责任公司,江苏 南京 210019)
  • 出版日期:2026-01-25 发布日期:2026-02-05
  • 基金资助:
    江苏中烟工业有限责任公司对外合作科技创新项目(Y04H202424);中国烟草总公司科技项目(110202202024)

Aroma-Enhancing Mechanism of Bergamot (Citrus medica L. var. sarcodactylis): Insights from Olfactory Receptor Interactions and Molecular Docking

HOU Meng, CAO Fan, QIN Yu, ZHOU Jiancheng, LIAO Huiyun, LI Naixu   

  1. (1. School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China;2. China Tobacco Jiangsu Industrial Co., Ltd., Nanjing 210019, China)
  • Online:2026-01-25 Published:2026-02-05

摘要: 为探究天然提取物增香的作用机制,采用气相色谱-质谱(gas chromatography-mass spectrometry,GC-MS)技术分别对佛手3 种提取物(精油、醇提浸膏和水提浸膏)进行非靶向鉴定分析,结合网络互作分析与分子对接验证,考察其关键香味组分与嗅觉受体相互作用影响。结果表明:精油、醇提浸膏和水提浸膏分别鉴定出94、85 种和86 种化合物,其中精油与醇提浸膏、精油与水提浸膏和醇提浸膏与水提浸膏之间分别共有15、13 种和40 种化合物,3 种提取物之间共有9 种化合物;通过ODORactor、M2OR等数据库获取香气物质与嗅觉受体的交集靶点202 个,经蛋白互作网络拓扑分析筛选出OR2C1、OR2L13、OR11H4等9 个核心靶点,构建了“成分-交集靶点-嗅觉受体”网络,筛选出乙酸香叶酯、百里香酚等10 个核心香味活性成分;分子对接结果显示乙酸香叶酯、百里香酚等成分与嗅觉受体呈现自发结合特性,并通过氢键和疏水作用形成稳定的构象。本研究从分子层面探究佛手增香的作用机制,可为天然香料开发提供理论依据和技术支持。

关键词: 佛手;提取物;香味成分;嗅觉受体;网络互作;分子对接

Abstract: To investigate the aroma-enhancing mechanism of natural extracts, non-targeted analysis of the volatile components of three bergamot (Citrus medica L. var. sarcodactylis) extracts: essential oil, ethanol extract, and water extract was conducted using gas chromatography-mass spectrometry (GC-MS). The interaction between key aroma-active components and olfactory receptors (ORs) was examined by the combined use of network interaction analysis and molecular docking. GC-MS analysis identified 94, 85, and 86 compounds in the essential oil, ethanol extract, and aqueous extract, respectively. Among these, 15, 13, and 40 compounds were shared between the essential oil and ethanol extract, between the essential oil and water extract, and between the ethanol and water extracts, respectively, and 9 compounds were common to all three extracts. Utilizing databases such as ODORactor and M2OR, 202 intersecting targets between aroma compounds and ORs were identified. Nine core targets, including OR2C1, OR2L13, and OR11H4, were selected through protein-protein interaction network topology analysis. A “component-intersecting target-olfactory receptor” network was constructed, revealing 10 core aroma-active components, such as geranyl acetate and thymol. Molecular docking indicated spontaneous binding characteristics between these components (e.g., geranyl acetate and thymol) and ORs, forming stable conformations via hydrogen bonds and hydrophobic interactions. This study elucidates the molecular mechanism underlying the aroma-enhancing properties of bergamot extracts, providing a theoretical foundation and technical support for the development of natural flavors.

Key words: bergamot; extracts; aroma components; olfactory receptors; network interaction; molecular docking

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