A study of volatiles of young citrus fruits from four areas based on GC–MS and flash GC e-nose combined with multivariate algorithms

电子鼻 化学计量学 风味 气相色谱-质谱法 气味 多元统计 气相色谱法 质谱法 化学 食品科学 色谱法 模式识别(心理学) 算法 计算机科学 数学 人工智能 机器学习 有机化学
作者
Qian Zhang,Rong Xue,Xi Mei,Lianlin Su,Wei Zhang,Haijun Yu,Jinguo Xu,Jing Mao,Chunqin Mao,Tulin Lu
出处
期刊:Food Research International [Elsevier BV]
卷期号:177: 113874-113874 被引量:19
标识
DOI:10.1016/j.foodres.2023.113874
摘要

The present study has successfully established a scientific and precise approach for distinguishing the geographical origins of young citrus fruits (Qingpi) from four primary production regions in China, using gas chromatography-mass spectrometry (GC–MS) and flash gas chromatography electronic nose (flash GC e-nose) to analyze the volatile composition and odor characteristics. Through the application of chemometric analysis, a clear differentiation among Qingpi samples was established using GC–MS. Additionally, the application of flash GC e-nose facilitated the extraction of flavor information, which enabled the discrimination of geographical origins. Several flavor components were identified as significant factors for origin certification. Furthermore, two pattern recognition algorithms were employed to achieve high accuracy in regional identification. The results of this investigation demonstrate that the amalgamation of multivariate chemometrics and algorithms can proficiently discern the sources of those young citrus fruits. The findings of this research can provide a reference for the assessment of quality control in food and other agricultural commodities in the times ahead.
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