基于电子鼻无损检测技术的桃果实香气研究

【目的】为了无损评价桃果实的香气品质差异,【方法】以19个桃品种八成熟的果实为试材,应用FOX4000电子鼻研究了品种间果实香气的差异。【结果】电子鼻18个金属氧化传感器对不同样品的感应值存在差异,LY2/LG、LY2/AA、LY2/GH、LY2/gCT1和LY2/gCT传感器的感应值为负值,其余13个传感器的感应值为正值;判别因子分析(DFA)方法可将桃果实大致分为4个小组,而主成分分析(PCA)方法的区分效果不明显,统计质量控制(SQC)方法显示样品间的香气品质具有差异;18个传感器在PCA与DFA分析方法中的权重存在不同。【结论】基于电子鼻的无损检测,应用DFA和SQC方法能较好呈现桃果实香气品质的差异。

Non-destructive detection of peach(Prunus persica) fruit volatiles using an electronic nose

【Objective】In order to study differences in volatiles of peach fruit using non-destructive technology,【Method】fruits of 19 peach varieties were harvested at commercial maturity and fruit volatiles were analyzed using a FOX 4000 electronic nose(e-nose) equipped with 18 metal oxide sensors.【Result】Based on fruit volatiles measured by the e-nose,response values of LY2/LG,LY2/AA,LY2/GH,LY2/gCT1 and LY2/gCT sensors were negative,while those of the other 13 sensors were positive.Tested peach fruit samples could be separated into four groups by the e-nose using discriminant factor analysis(DFA),however,no clear difference was found based on principal component analysis(PCA),while statistical quality control(SQC) results showed differences in fruit volatiles among peach fruit samples.Loading weight of the sensors in the PCA was different from those of the DFA.【Conclusion】The results suggested that the e-nose could be used to evaluate volatile quality of peach varieties using DFA and SQC.