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GC-IMS和不同中国品种中挥发性有机成分的多变量分析

Hongqiang Li¹, Xiangmin Zhao¹, Shizhen Qin¹

¹College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, China.

|April 24, 2024

概括

这项研究在四种品种中使用头空间气色谱-离子运动谱学 (HS-GC-IMS) 确定了关键的挥发性化合物. 这些化合物可以区分品种,提供对味道配置的洞察力.

科学领域:

食品科学食品科学食品科学
分析化学分析化学
动物科学动物科学

背景情况:

挥发性风味化合物显著影响肉类的感官感知.
了解特定品种的风味特征对于应用和消费者选择至关重要.
之前用于表征肉味的方法在速度和特异性方面存在局限性.

研究的目的:

为了区分四种当地品种之间的挥发性味道特征.
为了识别潜在的标记化合物来区分这些品种.
为了评估HS-GC-IMS的有效性,加上用于肉类表征的多变量分析.

主要方法:

头部气体染色学 - 离子运动谱学 (HS-GC-IMS) 用于分析挥发性有机化合物 (VOC).
多变量分析,包括部分最小平方差分分析 (PLS-DA),用于数据解释和模式识别.
使用VOC指纹和地形图来可视化品种之间的差异.

主要成果:

总共有65种VOC被确定,其中化物和酒精是最丰富的类别.
在四种品种中观察到挥发性概况的显著差异.
根据PLS-DA分析,有20个挥发性成分被确定为种族歧视的潜在标志物.

结论:

与多变量分析相结合的HS-GC-IMS是一种强大且方便的方法,用于表征肉风味.
鉴定到的挥发性化合物为不同的品种的独特风味概况提供了宝贵的见解.
这种方法可以帮助在品种特定的挥发性签名的基础上对肉制品的质量控制和差异化.

关键词:

肉肉类肉肉类不同的品种不同的品种.在HS-GC-IMS中使用.多变量分析多变量分析.挥发性风味挥发性的风味

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