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以“富士”苹果为试材,利用电子鼻对1-MCP常温不同处理时间内的苹果挥发性成分进行检测分析,通过电子鼻系统动态采集苹果挥发性成分并得到电子鼻的响应值,并用PCA和LDA模式判别方法进行数据分析。结果表明:PCA方法能够区分贮后相同货架期内1-MCP处理组和对照组,但对1-MCP不同处理组间区分效果不理想。LDA方法可以准确地对贮后相同货架期内所有处理的苹果进行判别区分。Loadings分析表明,传感器2、6、7、8、9在1-MCP常温不同处理时间的苹果电子鼻判别中发挥着主要作用。因此,利用电子鼻可以实现1-MCP常温不同处理时间苹果的判别区分,且LDA方法优于PCA方法。
Using “Fuji” apple as test material, the volatile components of apple in different processing time of 1-MCP were detected by electronic nose. The electronic nose system was used to dynamically collect the volatile components in apple and obtain the response value of electronic nose. And PCA and LDA mode discrimination method for data analysis. The results showed that the PCA method could differentiate the 1-MCP treated group from the control group during the same shelf-life, but the difference between the 1-MCP treated groups was not satisfactory. The LDA method accurately distinguishes all apples processed during the same shelf life. Loadings analysis showed that sensors 2, 6, 7, 8 and 9 play a major role in apple electronic nose discrimination of 1-MCP at different processing time. Therefore, the use of electronic nose 1-MCP can be achieved at different temperatures at different processing time discrimination apple, and LDA method is superior to the PCA method.