电子鼻在芒果采后病原菌种类判别中的应用研究

The Use of Electronic Nose to Classify the Postharvest Diseases Pathogens of Mango Fruit

利用电子鼻对胶孢炭疽菌(Colletotrichum gloeosporioides Penz.)、可可球二孢(Botryodiplodia theobromae Pat.)、芒果小穴壳(Dothiorella dominicana Pet.et Cif.)和芒果拟茎点霉(Phomopsis mangiferae Ahmad.)4种芒果采后病害病原菌发酵液的挥发性气味进行检测,以评估电子鼻用于芒果不同真菌病原菌种类判别的可行性。结果表明,对气味响应值进行的主成分分析(PCA)、线性判别分析(LDA)及聚类分析均能够正确区分不同病原菌种类。多因素方差分析(MANOVA)结果显示,不同病原菌之间的差异显著(p<0.05)。结果为芒果采后病原菌种类判别提供新的方法,为其他病原菌的种类判别提供参考。

Electronic nose was used to detecte and classify four common postharvest diseases pathogens of mango fruit：Colletotrichum gloeosporioides Penz.,Botryodiplodia theobromae Pat.,Dothiorella dominicana Pet.et Cif.,and Phomopsis mangiferae Ahmad.Principal component analysis （PCA）,linear discrimination analysis （LDA） amd cluster analysis （CA） of volatile profiles all could reveal four distinct groups corresponding to the four species.Multivariate analysis of variance （MANOVA） confirmed that the four pathogens were significantly different （p＜0.05）.The study showed the potential feasibility for the rapid species judgement of mango postharvest disease pathogens.