本平台为互联网非涉密平台,严禁处理、传输国家秘密、工作秘密或敏感信息

牦牛肉与三种不同来源的牛肉挥发性风味差异解析
DOI:
CSTR:
作者:
作者单位:

1.青岛农业大学;2.山东农业工程学院;3.山东农业大学

作者简介:

通讯作者:

中图分类号:

基金项目:

中央引导地方资金项目(YDZX2026067),牦牛藏羊肉高值化精深加工关键技术研发与集成示范


Analysis of Volatile Flavor Differences between Yak Meat and Beef from Three Different Sources
Author:
Affiliation:

Qingdao Agricultural University

Fund Project:

Central Government Fund for Guiding Local Science and Technology Development (YDZX2026067), Research, Development, and Integrated Demonstration of Key Technologies for High-Value Deep Processing of Yak and Tibetan Sheep Meat.

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    牦牛肉具有鲜明的地域特色和风味品质,为比较本批次牦牛肉与三类参照牛肉的挥发性风味差异,以牦牛肉(YC)为研究对象,选取杂牛肉(WA)、鲁西黄牛肉(LC)和西杂牛肉(SL)作为参照。采用电子鼻、气相色谱-离子迁移谱(Gas Chromatography-Ion Mobility Spectrometry,GC-IMS)和顶空固相微萃取-气相色谱-质谱联用(Headspace Solid-Phase Microextraction-Gas Chromatography-Mass Spectrometry,HS-SPME-GC-MS),分析样品整体气味响应及挥发性有机化合物(Volatile Organic Compounds,VOCs),并结合主成分分析(Principal Component Analysis,PCA)、正交偏最小二乘判别分析(Orthogonal Partial Least Squares-Discriminant Analysis,OPLS-DA)、变量投影重要性(Variable Importance in Projection,VIP)和相对气味活性值(Relative Odor Activity Value,ROAV)进行评价。结果表明,电子鼻PCA前两主成分累计解释率为78.50%,YC与LC、SL分离较明显;GC-IMS与HS-SPME-GC-MS的PCA前两主成分累计解释率分别为85.20%和84.10%;GC-IMS和HS-SPME-GC-MS分别鉴定32种和42种挥发性有机化合物,两平台共同检出5种;以VIP>1且P<0.05筛选出11种和16种候选差异化合物。综合VIP与ROAV结果,正己醛、正壬醛和反式-2-癸烯醛具有较高区分贡献和潜在气味贡献。多平台联合分析可为牦牛肉来源鉴别、特色风味解析及后续加工风味调控提供理论依据。

    Abstract:

    Yak meat is characterized by distinctive regional attributes and flavor qualities. To compare the volatile flavor profiles of yak meat from the present batch with those of three reference beef groups, yak meat (YC) was selected as the primary research subject, while crossbred beef (WA), Luxi Yellow cattle beef (LC), and Simmental crossbred beef (SL) were used as reference samples.An electronic nose, Gas Chromatography-Ion Mobility Spectrometry (GC-IMS), and Headspace Solid-Phase Microextraction-Gas Chromatography-Mass Spectrometry (HS-SPME-GC-MS) were employed to characterize the overall odor responses and volatile organic compounds (VOCs) of the samples. Principal Component Analysis (PCA), Orthogonal Partial Least Squares-Discriminant Analysis (OPLS-DA), Variable Importance in Projection (VIP), and Relative Odor Activity Value (ROAV) were further applied for multivariate evaluation. The results showed that the first two principal components of the electronic-nose PCA explained 78.50% of the variance, distinguishing YC from LC and SL. The corresponding cumulative explained variances for GC-IMS and HS-SPME-GC-MS PCA were 85.20% and 84.10%, respectively. A total of 32 and 42 VOCs were identified by GC-IMS and HS-SPME-GC-MS, respectively, with five compounds commonly detected by both platforms. Based on the criteria of VIP > 1 and P < 0.05, 11 and 16 candidate differential compounds were screened from the two analytical platforms, respectively. Combined VIP and ROAV analyses indicated that hexanal, nonanal, and (E)-2-decenal made relatively high contributions to sample discrimination and potential odor characteristics. Overall, the integrated multi-platform approach provides a theoretical basis for origin discrimination of yak meat, characterization of its distinctive flavor, and subsequent flavor regulation during processing.

    参考文献
    相似文献
    引证文献
引用本文
分享
相关视频

文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2026-09-14
  • 最后修改日期:2026-10-21
  • 录用日期:2026-10-22
  • 在线发布日期:
  • 出版日期:
文章二维码