芳香
风味
质谱法
气相色谱-质谱法
感官分析
化学
偏最小二乘回归
食品科学
感觉系统
化学计量学
定量描述分析
线性判别分析
气体分析
色谱法
仿形(计算机编程)
气相色谱法
挥发性有机化合物
作者
Xiao Shen,Haitao Wang,Lingyun Yao,Min Sun,Chuang Yu,Tao Feng,Wencui Kang,Xiao Shen,Haitao Wang,Lingyun Yao,Min Sun,Chuang Yu,Tao Feng,Wencui Kang
标识
DOI:10.1111/1750-3841.70750
摘要
ABSTRACT This study analyzed volatile compounds in twelve Xinjiang Ili honeys using gas chromatography‐ion mobility spectrometry (GC‐IMS), comprehensive two‐dimensional gas chromatography‐time‐of‐flight mass spectrometry (GC × GC‐TOF MS), and gas chromatography‐olfactic‐coupled mass spectrometry (GC‐O‐MS), identifying distinct aroma profiles across floral origins. Correlation network analysis (quantitative descriptive analysis (QDA), partial least squares discriminant analysis (PLS‐DA), and odor‐specific measurement estimation (OSME)) revealed key sensory drivers: “floral,” “fruity,” “herbal,” “sweet,” and “pungent” attributes were linked to cis‐linalool oxide, ethyl benzoate, 1‐hexanol, γ‐nonanolactone, and isophorone. A novel flavor wheel visualized unique sensory characteristics of Ili honeys, highlighting their diversity. The findings enhance understanding of honey flavor chemistry and provide a scientific foundation for sensory optimization and origin‐specific product development of regional honeys. GC‐IMS enables rapid aroma fingerprinting.
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