电子鼻
偏最小二乘回归
线性判别分析
食品科学
气味
主成分分析
模式识别(心理学)
感官分析
成分分析
化学
定性分析
化学计量学
气体分析
投影(关系代数)
感觉系统
独立成分分析
生物系统
组分(热力学)
定量描述分析
食品
挥发性有机化合物
食品质量
气相色谱-质谱法
气相色谱法
嗅觉测定
数学
人工智能
作者
Yaping Wang,Xiaolei Tang,Xitong Yuan,Hanying Xu,Yuxi Liu,Yaling Yang,Zhihui Lin,Siming Wang,Bin Qi,Li Liu
标识
DOI:10.1080/14786419.2026.2631185
摘要
Sheep fat has broad applications across various industries, including food processing and medicine. To explore variations in volatile profiles across different sheep fat types, sensory evaluation, electronic nose (E-nose) technology combined with gas chromatography-ion mobility spectroscopy (GC-IMS) was employed to identify and characterise volatile components. In addition, chemometric approaches were utilised to further delineate the differences among the analysed samples. GC-IMS analysis detected a total of 58 volatile substances, encompassing monomers and their corresponding dimers. Comparative analysis revealed that while qualitative similarities existed across volatile profiles, substantial quantitative differences were noted among the various fat samples. Through the application of PCA, orthogonal partial least squares discriminant analysis (OPLS-DA), and variable importance in projection (VIP) analysis, 25 volatile compounds. These findings highlight the distinctive volatile profiles present in various sheep fat samples and offer theoretical and methodological guidance for quality assessment and volatile compound analysis in sheep-derived oils and fats.
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