Abstract: The aroma composition in Fuji apples were detected by an electronic nose during different shelf life.Change of main sensor response value was analyzed by radars charts and loadings analysis,and the data was analyzed using principal component analysis( PCA) and linear discrimination analysis( LDA),respectively. The results showed that sensors of 7 and 8 played important roles in the ambient shelf life discrimination of apples by using loadings analysis,sensors of 2 and 7 played important roles in the ambient shelf life after cold storage discrimination of Fuji apples by using loadings analysis. Electronic nose could identify apples stored at different ambient shelf life by PCA and LDA methods. Compared with PCA method,electronic nose could even more distinguish apples stored at different shelf life after cold storage by LDA,which was taken on well centrality and one- way tendency.Therefore,stupid discrimination of apple by electronic nose was feasible.