Heran Xu, Song Pan, Jiabao Wang, Tiancheng Ye, Miao Yan, Xiaoman Liang, Guanlin Qian, Tingcai Yan, Guang Xin
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引用次数: 0
摘要
猕猴桃(Actinidia arguta)是一种广泛食用的水果,以其独特的风味而闻名。然而,目前还缺乏对不同栽培品种之间挥发性有机化合物(VOCs)和香气特征差异的系统研究。本研究采用气相色谱-质谱法、感官分析法和 OAV 法结合化学计量学分析了 10 个 A. arguta 栽培品种的香气特征。共鉴定出 52 种挥发性有机化合物,其中萜类化合物含量最高。根据偏最小二乘判别分析(PLS-DA),确定了 12 种挥发性有机化合物作为区分栽培品种的生物标志物。此外,还发现 28 种挥发性有机化合物具有香气活性,可为 A. arguta 带来果香、绿色、花香、甜香和薄荷香。值得注意的是,α-酮、β-酮和β-大马士革烯表现出较高的 OAVs,对花香有重要贡献。研究人员还开发了一种香气轮来代表 A. arguta 的整体香气特征。这些研究结果为白花蛇舌草的质量评价和品种培育提供了理论基础。
Comparative characterization of volatile organic compounds and aroma profiles in 10 Actinidia arguta cultivars by gas chromatography-mass spectrometry (GC–MS), sensory analysis, and odor activity value (OAV) combined with chemometrics
Actinidia arguta, a widely consumed fruit, is well-known for its distinct flavor. However, there has been a lack of systematic investigation on the differences in volatile organic compounds (VOCs) and aroma characteristics among cultivars. In this study, 10 A. arguta cultivars were analyzed for aroma characteristics by GC–MS, sensory analysis, and OAV combined with chemometrics. A total of 52 VOCs were identified, with terpenoids being the most abundant. Based on partial least squares-discriminant analysis (PLS-DA), 12 VOCs were identified as biomarkers for distinguishing cultivars. Furthermore, 28 VOCs were found as aroma-active compounds, contributing fruity, green, floral, sweet, and minty aroma notes to A. arguta. Notably, α-ionone, β-ionone, and β-damascening exhibited high OAVs, making a significant contribution to the floral note. An aroma wheel was developed to represent the overall aroma profile of A. arguta. These findings provide a theoretical foundation for quality evaluation and cultivar breeding of A. arguta.
期刊介绍:
The Journal of Food Composition and Analysis publishes manuscripts on scientific aspects of data on the chemical composition of human foods, with particular emphasis on actual data on composition of foods; analytical methods; studies on the manipulation, storage, distribution and use of food composition data; and studies on the statistics, use and distribution of such data and data systems. The Journal''s basis is nutrient composition, with increasing emphasis on bioactive non-nutrient and anti-nutrient components. Papers must provide sufficient description of the food samples, analytical methods, quality control procedures and statistical treatments of the data to permit the end users of the food composition data to evaluate the appropriateness of such data in their projects.
The Journal does not publish papers on: microbiological compounds; sensory quality; aromatics/volatiles in food and wine; essential oils; organoleptic characteristics of food; physical properties; or clinical papers and pharmacology-related papers.