利用电子鼻对不同种类梨品种的果实挥发性物质进行检测分析.结果表明,电子鼻的18个传感器能对不同种的梨品种挥发性组分产生不同的反应值.运用主成分分析(PCA)能够将所检测的8个品种聚为两大类:一类表现为传感器反应值较大,挥发性物质浓度较高；另一类则表现为传感器反应值较低,挥发性物质浓度较低.运用判别因子分析(DFA)可以将所检测的8个品种根据种类或产地很好地进行区分.结果表明,利用电子鼻检测挥发性物质结合一定的数学分析能对不同种类梨品种进行区分.%In this study, volatile compounds of pear cultivars originating from different species were detected using an electronic nose. The results showed that 18 sensors of the electronic nose responded differently to the volatile compounds of pear cultivars from different species. Likewise, different cultivars resulted in different responses toward these sensors. The eight cultivars could be clustered into two groups by principal component analysis ( PCA). One group contained a high concentration of some volatile compounds and exhibited higher response values to sensors, whereas another group contained a low concentration of some volatiles and showed lower response values to sensors. In addition, these cultivars could be clearly differentiated on the basis of their origin and producing area using discrimination factor analysis ( DFA). Our results demonstrated that the detection of volatile compounds using electronic nose combining with appropriate mathematic analysis could differentiate pear cultivars.
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