Heracles快速气相电子鼻对花椒油气味指纹分析研究

Investigation of flash GC electronic nose Heracles for the analysis of odor fingerprints in pepper oil

目的:应用超快速气相色谱电子鼻对不同种类花椒油样品进行快速、有效区分。方法:进行显著性响应信号筛选,采用主成分分析法、判别因子分析法、单类成分判别分析以及聚类分析法等4类统计分析方法对样品的色谱峰进行数据处理和归类,并用Arochembase数据库对化合物进行定性分析。结果:红花椒油样品有效响应点数少于其他2种样品,应用PCA、DFA、SIMCA、CA等4种统计方法分析,均能将3类不同花椒油样品区分或识别。结论:青花椒油样品与藤椒油样品间的香气成分差异较小;红花椒油样品与前两者的香气成分差异很大。Heracles快速气相电子鼻可以应用于花椒油的气味分析、质量检测以及识别鉴定。

Objective： The study was performed to establish a rapid and accurate method for the distinguish of different kinds of pepper oil. Methods： Flash GC electronic nose Heracles was used to collect the odor fingerprints. Four kinds of multi-statistics methods, such as principal component analysis, discriminant factor analysis, soft independent modeling of class analogy and cluster analysis, were used to analyze and classify the samples, including the screening of significant response signal. Results： The effective response points of red pepper oil were less than the other two kinds of samples. Three different kinds of pepper oil could be distinguished or identified with the four different multi-statistics methods respectively. Conclusion： There was little difference between samples of green pepper oil and Rattan pepper oil in aroma components, while the red pepper oil was very different from the former two. Flash GC electronic nose Heracles could be applied to pepper oil for the analysis of odor, quality detection and identification.