食品科学 ›› 2026, Vol. 47 ›› Issue (19): 250-261.doi: 10.7506/spkx1002-6630-20260303-021

• 成分分析 • 上一篇    

核桃常温贮存过程中风味物质动态变化规律

韩进华,刘眉伶,李倩倩,张艺琳,李建勋,杜丽平   

  1. (1.天津科技大学生物工程学院,天津 300457;2.中国农业科学院农产品加工研究所,北京 100193)
  • 发布日期:2026-10-22
  • 基金资助:
    国家自然科学基金面上项目(32572701)

Dynamic Changes in Flavor Compounds in Walnuts during Ambient Storage

HAN Jinhua, LIU Meiling, LI Qianqian, ZHANG Yilin, LI Jianxun, DU Liping   

  1. (1. College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, China; 2. Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China)
  • Published:2026-10-22

摘要: 为阐明核桃常温贮藏的风味演变规律及关键风味物质的动态变化机制,本研究采用电子鼻、气相色谱-质谱(gas chromatography-mass spectrometry,GC-MS)和气相色谱-离子迁移谱(gas chromatography-ion mobility spectrometry,GC-IMS)技术,结合主成分分析(principal component analysis,PCA)、偏最小二乘判别分析(partial least squares-discriminant analysis,PLS-DA)等化学计量学方法,对常温贮藏核桃(0~220 d)挥发性有机化合物(volatile organic compounds,VOCs)进行系统性分析。结果表明,电子鼻可快速区分不同贮藏时期的核桃,PCA前两主成分的累计方差贡献率达91.9%,可有效区分不同贮藏时期的样品。GC-MS鉴定出83 种VOCs,其总含量呈现升-降-升的动态变化;通过气味活性值筛选出25 种关键风味物质,其中反-2-辛烯醛、(E,E)-2,4-壬二烯醛等醛类化合物是后期劣变风味的主要成分,源于脂质氧化和美拉德反应。基于67 个GC-IMS信号构建的指纹图谱可视化了不同时期的风味差异。此外,针对贮藏前期(5~50 d)、中期(85~150 d)、后期(180~220 d)3 个阶段建立PLS-DA模型,筛选出2,5-二甲基吡嗪等34 种关键化合物(变量投影重要性>1),对区分不同贮藏时期起重要作用。本研究聚焦常温贮藏核桃的风味演变,揭示了核桃风味物质的动态变化规律,可为核桃常温贮藏技术的优化提供核心理论依据。

关键词: 核桃;挥发性化合物;电子鼻;指纹图谱;偏最小二乘判别分析

Abstract: To clarify the pattern of flavor evolution and the mechanism underlying the dynamic changes in key flavor substances of walnuts during ambient storage, we combined an electronic nose, gas chromatography-mass spectrometry (GC-MS), and gas chromatography-ion mobility spectrometry (GC-IMS) with chemometric methods including principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) to systematically analyze the volatile compounds in walnuts stored at room temperature for up to 220 days. The results showed that the electronic nose rapidly discriminated walnuts stored for different periods. PCA indicated that the first two principal components accounted for 91.9% of the variance, effectively separating samples from different storage stages. GC-MS identified 83 volatile organic compounds (VOCs), and the total VOC concentration exhibited an increase-decrease-increase dynamic trend. Based on odor activity value (OAV), 25 key aromaactive compounds were identified, among which aldehydes such as trans-2-octenal and (E,E)-2,4-nonadienal were the primary contributors to the offflavors of samples at the late stage of storage, originating from lipid oxidation and the Maillard reactions. A fingerprint map based on 67 GC-IMS signals visualized flavor differences across storage periods. Furthermore, using the PLS-DA models established for the early (days 5–50), mid (days 85–150) and late (days 180–220) storage stages, 34 key differential compounds (variable importance in projection (VIP) scores > 1) were identified, including 2,5-dimethylpyrazine. These findings provide a theoretical basis for optimizing the storage of walnuts.

Key words: walnuts; volatile compounds; electronic nose; fingerprint; partial least squares-discriminant analysis

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