基于气相色谱-离子迁移谱法快速鉴别油菜蜜混合洋槐蜜

Identification of rape honey mixed with locust honey based on gas chromatography-ion mobility spectrometry

中文关键词:  气相离子迁移谱(GC-IMS)  洋槐蜜  油菜蜜  混合蜜鉴别

英文关键词:gas chromatography-ion mobility spectrometry  locust honey  rape honey  honey hybrid  identification

中文摘要:

      目的 探究油菜蜜混合洋槐蜜的快速识别方法。方法 利用感官分析方法和气相色谱-离子迁移谱法(gas chromatography-ion mobility spectrometry, GC-IMS)技术对100%洋槐蜜、100%油菜蜜及不同比例油菜蜜混合洋槐蜜样品挥发性组分进行测定与分析。依据GC-IMS指纹图谱信息, 采用主成分分析法(principal component analysis, PCA)及聚类分析对蜂蜜样品进行分析。结果 油菜蜜混合洋槐蜜可通过三点检验分辨的混合比例为50%以上; 100%洋槐蜜、100%油菜蜜及混合蜜中共检测出84种不同的特征信号, 鉴定出61种挥发性成分, 洋槐蜜挥发性物质信号峰体积高于油菜蜜; 随着油菜蜜混合比例的增加, 混合蜜挥发性物质组成逐渐偏离洋槐蜜, 更趋近于油菜蜜。PCA和聚类分析可以有效提取并压缩GC-IMS三维矩阵中的特征信息, 区分和辨识100%洋槐蜜、100%油菜蜜以及50%~10%混合比例的混合蜜, 并且能够表征油菜蜜掺假量对洋槐蜜挥发性成分信息的影响趋势。结论 GC-IMS方法可高效快速检测蜂蜜中挥发性化合物, 作为区别不同植物源蜂蜜的一个判断指标, 但后续仍需扩大样品数量, 收集不同来源的同一植物源蜂蜜进行VOCs检测分析, 同时结合化学计量学, 共同判断其潜在的特征标记物, 为不同植物源蜂蜜的综合利用和鉴别奠定基础。

英文摘要:

      Objective To achieve rapid identification of rape honey mixed with locust honey. Methods The volatile components of 100% locust honey, 100% rape honey, and adulterated locust honey with varying degrees of adulteration were determined and identified using sensory analysis method and gas chromatography-ion mobility spectrometry (GC-IMS). According to the fingerprint information established by GC-IMS, the honey samples were analyzed by principal component analysis (PCA) and clustering analysis. Results Rape honey mixed with locust honey that could be resolved by three-point test was more than 50%. A total of 84 distinct characteristic signals were detected and 61 volatile components were identified for 100% locust honey, 100% rape honey, and mixed honey. The signal peak volume of volatile substances in locust honey was higher than that in rape honey. With the increase of mixing ratio of rape honey, the volatile substance composition of the mixed honey deviated from that of locust honey, and was closer to that of rape honey. The feature information in the GC-IMS three-dimensional matrix could be effectively extracted and compressed through PCA and cluster analysis, and could accurate discrimination and identification of 100% locust honey, 100% rape honey, and mixed honey ranging from 10% to 50%, and characterize the influence trend of rape honey adulteration amount on the volatile component information of locust honey. Furthermore, it enabled characterization of the impact trend of varying levels of rape honey mixed on the volatile component information of locust honey. Conclusion GC-IMS can be used to detect volatile compounds in honey efficiently and quickly, and can be used as a judge index to distinguish different plant honey. However, it is imperative to expand the sample size and collect plant-derived honey from diverse sources for the detection and analysis of VOCs. The integration of chemometrics, moreover, can enhance the identification of potential characteristic markers, thereby establishing a robust foundation for the comprehensive utilization and differentiation of diverse plant-derived honey.