• 中国科技期刊卓越行动计划项目资助期刊
  • 中国精品科技期刊
  • 首都科技期刊卓越行动计划
  • EI
  • Scopus
  • CAB Abstracts
  • Global Health
  • 北大核心期刊
  • DOAJ
  • EBSCO
  • 中国核心学术期刊RCCSE A+
  • 中国科技核心期刊CSTPCD
  • JST China
  • FSTA
  • 中国农林核心期刊
  • 中国开放获取期刊数据库COAJ
  • CA
  • WJCI
  • 食品科学与工程领域高质量科技期刊分级目录第一方阵T1
中国精品科技期刊2020
朱焕婷,邹金浩,杨怀谷,等. 基于智能感官技术结合OPLS-DA解析传统药膳鸡汤特征风味及其来源J. 食品工业科技,2026,47(17):1−9. doi: 10.13386/j.issn1002-0306.2025080084.
引用本文: 朱焕婷,邹金浩,杨怀谷,等. 基于智能感官技术结合OPLS-DA解析传统药膳鸡汤特征风味及其来源J. 食品工业科技,2026,47(17):1−9. doi: 10.13386/j.issn1002-0306.2025080084.
ZHU Huanting, ZOU Jinhao, YANG Huaigu, et al. Characterization and Source Identification of Characteristic Flavor Compounds in Chinese Herbal Chicken Soup Using Intelligent Sensory Technology Combined with OPLS-DAJ. Science and Technology of Food Industry, 2026, 47(17): 1−9. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2025080084.
Citation: ZHU Huanting, ZOU Jinhao, YANG Huaigu, et al. Characterization and Source Identification of Characteristic Flavor Compounds in Chinese Herbal Chicken Soup Using Intelligent Sensory Technology Combined with OPLS-DAJ. Science and Technology of Food Industry, 2026, 47(17): 1−9. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2025080084.

基于智能感官技术结合OPLS-DA解析传统药膳鸡汤特征风味及其来源

Characterization and Source Identification of Characteristic Flavor Compounds in Chinese Herbal Chicken Soup Using Intelligent Sensory Technology Combined with OPLS-DA

  • 摘要: 不同药材对传统药膳鸡汤特征风味形成具有重要作用。本研究以添加黄芪、党参、枸杞和红枣炖制的鸡汤为对照(CK),分别建立了黄芪缺失(-HQ)、党参缺失(-DS)、枸杞缺失(-GQ)和红枣缺失(-HZ)等4种鸡汤模型,通过智能感官技术、气相色谱-质谱(Gas Chromatography-Mass Spectrometer,GC-MS)、游离氨基酸分析、呈味核苷酸分析,结合正交偏最小二乘判别分析(Orthogonal Partial Least Squares-Discriminant Analysis,OPLS-DA)比较分析其特征风味与来源。结果表明:电子鼻与电子舌技术可有效检测与区分5组鸡汤的气味与滋味差异。药材的缺失主要导致鸡汤在硫化氢类化合物传感器(W1W)的响应值以及鲜味传感器(NMS)响应值降低。进一步分析得出,药材缺失导致挥发性风味物质总含量降低,通过OPLS-DA和VIP值得出2,3-丁二酮、正己醇、右旋萜二烯、己醛、2-甲基丁醛、植物醇等10种挥发性风味物质是影响鸡汤整体风味的主要差异物质。相比于其它药材缺失组,这10种物质和电子鼻传感器均与-HQ组距离较远,说明黄芪对鸡汤整体风味的影响最大。此外,药材缺失还导致鸡汤关键鲜味物质(谷氨酸和5’-肌苷酸)含量降低。综上,药材缺失均会影响鸡汤特征风味,其中以黄芪对鸡汤的特征风味贡献最大。

     

    Abstract: Different medicinal herbs play an important role in shaping the characteristic flavor of traditional herbal chicken soup. In this study, chicken soup prepared with Radix Astragali (HQ), Radix Codonopsis (DS), Fructus Lycii (GQ), and Fructus Jujubae (HZ) was used as the control (CK). Four model soups were established by individually omitting one of these herbs: -HQ, -DS, -GQ, and -HZ. The characteristic flavors and their sources were compared using intelligent sensory techniques, gas chromatography–mass spectrometry (GC–MS), free amino acid analysis, flavor nucleotide analysis, and orthogonal partial least squares-discriminant analysis (OPLS-DA). The results showed that the electronic nose and electronic tongue could effectively detect and distinguish differences in odor and taste among the five groups. The omission of herbs mainly led to a decrease in the response values of the hydrogen sulfide-sensitive sensor (W1W) and the umami sensor (NMS). Further analysis revealed that the omission of herbs led to a reduction in the total content of volatile flavor compounds. OPLS-DA and variable importance in projection (VIP) analysis identified ten volatile flavor compounds as the main contributors to the overall flavor profile, including 2,3-butanedione, 1-hexanol, dipentene, hexanal, 2-methylbutanal, and phytol. Compared to the other omission groups, the -HQ group showed the greatest distance from both these key compounds and the electronic nose sensor signals, indicating that Radix Astragali has the most significant impact on the overall flavor of the chicken soup. Additionally, the levels of key umami compounds (Glu and 5’-IMP) were reduced in the herb-omitted groups. In conclusion, the absence of any herb affects the characteristic flavor of the soup, with Radix Astragali contributing the most notably to its distinctive flavor profile.

     

/

返回文章
返回