山金柑整果和去籽果实挥发性成分分析

        Analysis of volatile components between whole and seed-removed fruits of Fortunella hindsii

        • 摘要:
          目的 比较山金柑整果和去籽果实挥发性成分的组成和含量并筛选关键差异物质,阐释其气味功效分化形成的物质基础,以期为山金柑种质资源的多元化、精准化与高值化利用提供理论依据。
          方法 以漳平山金柑与永春山金柑为试验材料,采用HS-GC-MS对其低温烘干的整果和去籽果实挥发性成分进行测试分析,运用峰面积归一化法计算各组分的相对含量,结合主成分分析(Principal component analysis,PCA)、正交偏最小二乘判别分析(Orthogonal partial least squarediscriminant analysis,OPLS-DA)、变量重要性投影(Variable importance projection,VIP)及层次聚类分析(Hierarchical clustering analysis,HCA)等多元统计方法进行解析组间差异。
          结果 从2种山金柑整果和去籽果实中共检出39种挥发性成分,萜烯类化合物种类和含量最为丰富,其中单萜烯相对含量最高,倍半萜烯次之;4组样品共检出5种共有挥发性成分,分别为β-蒎烯、D-柠檬烯、β-可巴烯、(+)-双环大根香叶烯和γ-松油烯,其中β-蒎烯的相对含量在4组中均为最高,β-可巴烯为2个去籽果实中第二大挥发性成分;此外,还有16种特有挥发性成分。PCA分析表明,处理效应是引起挥发性成分差异的首要驱动因素;OPLS-DA模型拟合效果良好(R2Y = 0.999、Q2 = 0.998)可有效区分整果和去籽果实两种处理状态;基于VIP值>1.00且差异倍数FC≥2.0或≤0.5为双重筛选标准筛选出17种关键差异成分,在层次聚类热图中形成清晰直观的反向分化区块;PCA、OPLS-DA和HCA分析结果高度吻合,均可有效区分整果和去籽果实的挥发性成分。
          结论 山金柑整果与去籽果实挥发性成分的组成和相对含量存在明显差异,整果以单萜烯类(D-柠檬烯等)为核心物质,去籽果实则以倍半萜烯类(β-石竹烯、榄香烯类等)为标记物质,去籽处理是引起挥发性成分差异的首要因素,研究结果为阐释整果与去籽果实“气味-功效”分化机制及功能性产品开发提供了科学依据。

           

          Abstract:
          Objective This study aimed to compare the composition and relative contents of volatile components between whole and seed-removed fruits of Fortunella hindsii, screen for the key differential substances, elucidate the material basis for the differentiation of odor and efficacy, and provide a theoretical basis for the diversified, precise, and high-value utilization of F. hindsii germplasm resources.
          Method Headspace gas chromatography-mass spectrometry (HS-GC-MS) was employed to determine the volatile components of two types of low-temperature dried whole and seed-removed fruits of F. hindsii. The relative contents of each component were calculated using the peak area normalization method. Multivariate statistical methods, including principal component analysis (PCA), orthogonal partial least squares discriminant analysis (OPLS-DA), variable importance in projection (VIP), and hierarchical clustering analysis (HCA), were applied for data interpretation.
          Result A total of 39 volatile components were detected from two types of whole fruit and seed-removed fruit of Fortunella hindsii. Terpenoids were the most abundant in both variety and content, among which monoterpenes showed the highest relative content, followed by sesquiterpenes. Five common volatile components were identified across the four sample groups, namely β-pinene, D-limonene, β-copaene, (+)-bicyclogermacrene, and γ-terpinene. Among them, β-pinene exhibited the highest relative content in all four groups, while β-copaene was the second most abundant volatile component in the two seed-removed fruit groups. In addition, 16 unique volatile components were detected. Principal component analysis (PCA) revealed that treatment effect was the primary driving factor causing differences in volatile profiles. The orthogonal partial least squares discriminant analysis (OPLS-DA) model exhibited good fitting performance (R2Y = 0.999, Q2 = 0.998) and effectively distinguished between whole fruit and seed-removed fruit treatments. Using dual screening criteria of VIP value > 1.00 and fold change (FC) ≥ 2.0 or ≤ 0.5, 17 key differential components were identified, which formed visually distinct reverse-differentiation blocks in hierarchical clustering heatmaps. The results of PCA, OPLS-DA, and hierarchical cluster analysis (HCA) were highly consistent, all effectively differentiating the volatile profiles of whole fruit and seed-removed fruit samples.
          Conclusion There were significant differences in the composition and relative content of volatile components between whole and seed-removed fruits of F. hindsii. The whole fruit was characterized by monoterpenes (e.g., D-limonene) as its core constituents, whereas the seed-removed fruit was marked by sesquiterpenes (e.g., β-caryophyllene and elemenes) as its signature substances. Seed removal was identified as the primary factor responsible for the differences in volatile profiles. These findings provide a scientific basis for elucidating the differentiation mechanism between the "odor–efficacy" profiles of whole fruit and seed-removed fruit, as well as for the development of functional products.

           

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